CrateDB
CrateDB is a database for real-time analytics on live operational data.
What CrateDB is
CrateDB is a database for real-time analytics on live operational data. It combines time-series, JSON, full-text, vector, geospatial and structured data in one engine. Its SQL support covers joins, aggregations and window functions over billions of rows without pre-aggregation or schema redesign. CrateDB supports replication, automatic failover and sharding, and can scale horizontally by adding nodes. Applications can connect over the PostgreSQL wire protocol or a native HTTP endpoint; listed integrations include Tableau, Power BI, Grafana, Apache Kafka, Apache Spark and dbt. You can use CrateDB as a managed service or deploy it on your own preferred infrastructure. Its open-source core is licensed under Apache 2.0. CrateDB Cloud supports authentication, role-based access control, TLS/SSL connections, encrypted storage volumes and audit logging, and holds ISO 27001 and SOC 2 Type II certifications. Cloud plans include a free option at no cost with 2 vCPUs, 2 GB RAM and 8 GB storage, and Shared and Dedicated options listed at $0.07 a month and $0.25 a month, respectively, billed hourly as displayed.
Good
- Handles six data types in one engine.
- Supports SQL joins, aggregations and window functions.
- Scales horizontally by adding nodes.
- Connects through PostgreSQL wire protocol or native HTTP.
- Offers managed service and self-deployment options.
- Open-source core is licensed under Apache 2.0.
Watch out
- The Cloud free plan has 2 vCPUs, 2 GB RAM and 8 GB storage.
- Cloud Shared and Dedicated prices are billed hourly as displayed.
- Dedicated support is basic; premium support is available with Custom.
Who it suits
CrateDB suits teams analyzing live operational data across varied formats who need SQL and horizontal scaling. It also fits users choosing between a managed Cloud service and deployment on their own infrastructure, including those seeking an Apache 2.0 open-source core.
Verdict
Choose CrateDB if you need real-time analytics across varied data types with SQL, multiple connectivity options and scale-out. Look elsewhere if the Cloud free plan’s listed resources are insufficient or if you need a published price for Shared, Dedicated or Custom deployment costs.
Plans and prices
From CrateDB's own pricing page, checked 20 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Shared Free | Free | 2 vCPUs · 2 GiB RAM · 8 GiB storage |
| Shared | — | Up to 8 shared vCPUs · Up to 12 GB RAM · Up to 1 TB storage |
| Dedicated | — | Up to 9 nodes · Up to 144 vCPUs · Up to 495 GB RAM · Up to 72 TB storage |
| Open Source | Free | On Premise · Free for Self-Hosting |
| CrateDB Cloud Free Plan | Free | 2 vCPUs · 2 GB RAM · 8 GB storage · no credit card required · backups once per day |
| CrateDB Cloud Shared | $0.07 a month | Shared environment · single node · up to 8 shared vCPUs and 12 GB RAM · up to 1 TB storage · development support · Hourly, as displayed |
| CrateDB Cloud Dedicated | $0.25 a month | Dedicated environment · up to 9 nodes · up to 144 vCPUs and 495 GB RAM · up to 72 TB storage · uptime SLAs · AWS/Azure Private Link · backups once per hour · Hourly, as displayed; includes basic support |
| Shared S2 | $53 a month | Cloud · per month |
| Shared S4 | $103 a month | Cloud · per month |
| Shared S6 | $153 a month | Cloud · per month |
| Dedicated CR1 | $187.25 a month | Cloud · per month |
| Shared S12 | $303 a month | Cloud · per month |
| Dedicated CR2 | $362.45 a month | Cloud · per month |
| Dedicated CR3 | $712.85 a month | Cloud · per month |
| Dedicated CR4 | $1,413.65 a month | Cloud · per month |
| CrateDB Cloud Custom | Priced on request | Dedicated environment · unlimited nodes and storage · custom compute · premium support · uptime SLAs · AWS/Azure Private Link · custom backups · dedicated master nodes |
| Custom | Priced on request | Cloud · Custom |
The facts
Each one read from CrateDB's own pages, with the date it was checked.
What it does
- Batch ingestion
- Batch loading is supported for historical backfills, scheduled updates and large imports.checked 15 Oct 2026
- Cloud security defaults
- The security page says CrateDB Cloud enables encryption at rest, IP allowlists, MFA, and isolated clusters by default.checked 2 Oct 2026
- Compliance
- CrateDB Cloud holds ISO 27001 and SOC 2 Type II certifications, according to the security page.checked 2 Oct 2026
- Connectivity
- CrateDB supports the PostgreSQL wire protocol and a native HTTP endpoint.checked 2 Oct 2026
- Connectivity and SDKs
- Applications can connect through the PostgreSQL wire protocol, HTTP endpoints and native drivers or client libraries.checked 15 Oct 2026
- Data types
- It supports time-series, JSON, full-text, vector, geospatial, and structured data in one engine.checked 2 Oct 2026
- Deployment
- CrateDB can be used as a fully managed service or deployed on preferred infrastructure, and its download page provides Linux and macOS installation information plus Docker and Kubernetes guides.checked 2 Oct 2026
- Documentation depth
- Official documentation includes connection guides, ingestion methods, integrations, administration, SQL syntax, functions and API reference material.checked 15 Oct 2026
- Full-text feature
- Full-text search is provided inside the SQL engine for large unstructured text datasets.checked 15 Oct 2026
- Funding
- Crunchbase lists five funding rounds and 13 investors, including Zetta Venture Partners and Momenta Ventures.checked 15 Oct 2026
- Geospatial feature
- Geospatial types support distance calculations, spatial filtering and location analytics.checked 15 Oct 2026
- High availability
- Built-in replication and automatic failover are designed to keep clusters running through node failures.checked 15 Oct 2026
- Horizontal scaling
- Nodes can be added to increase throughput, with automatic sharding and replication.checked 15 Oct 2026
- Installation
- Installation documentation covers Docker, Kubernetes, Debian, Ubuntu, Red Hat packages and tarball archives; Linux and macOS are explicitly supported download targets.checked 15 Oct 2026
- Integrations
- Documented integrations include Tableau Cloud, Power BI, Kafka, StreamSets, DBeaver, Prometheus, Grafana, Airflow, Superset, Metabase, Excel and n8n.checked 15 Oct 2026
- JSON feature
- JSON objects are stored and queried natively with flexible schemas and real-time filtering.checked 15 Oct 2026
- Legal name
- Crunchbase identifies the legal entity as Crate.io Inc., also known as CrateDB, Crate.io and Crate.checked 15 Oct 2026
- License
- The open-source core is licensed under the Apache License 2.0.checked 15 Oct 2026
- Limit: administration and extensibility
- G2 complaints include an improvable admin dashboard, inability to control sharding, limited ORM support and missing extension mechanisms.checked 15 Oct 2026
- Limit: ecosystem and tooling
- G2 feedback mentions a limited ecosystem of ready-made connectors and administration tools.checked 15 Oct 2026
The company
- Company profile
- LinkedIn lists CrateDB as a privately held software company founded in 2013 with 11–50 employees and headquarters in Vienna.checked 15 Oct 2026
- Founded
- 2013checked 28 Sep 2026
- Headquarters
- Redwood City, California, United Stateschecked 28 Sep 2026
Money
- Free plan
- Yeschecked 20 Sep 2026
The full review of CrateDB
Overview
CrateDB is a database for real-time analytics on live operational data. It suits teams that need to query varied data through SQL while scaling across nodes; its main trade-off is that the managed-service costs can rise beyond a modest free allocation, and larger tiers require custom pricing.
Its open-source core is licensed under Apache 2.0, and CrateDB can run on-premises, at the edge, in the cloud, or as a managed service. The company was founded in 2013 and is headquartered in Redwood City, California.
Its range spans Distributed SQL Databases, OLAP Databases, Columnar Databases, Spatial Databases, and Multimodel Databases, as well as the broader Database Software category.
Key features
One engine for varied data
CrateDB supports time-series, JSON, full-text, vector, geospatial, and structured data in one engine. That breadth can reduce the need to split operational analytics across separate systems. SQL includes joins, aggregations, and window functions, and is designed to work across billions of rows without pre-aggregation or schema redesign. This makes it a compelling fit for mixed workloads, though the stated breadth alone does not tell teams how their own queries will perform.
Scale and connectivity
Built-in replication and automatic failover are intended to support availability, while automatic sharding and horizontal scale-out let deployments grow by adding nodes. PostgreSQL wire protocol support and a native HTTP endpoint give applications more than one route to connect. Integrations include Tableau, Power BI, Grafana, Apache Kafka, Apache Spark, and dbt, which makes CrateDB more practical in established analytics and data pipelines.
Security and support
CrateDB supports authentication, role-based access control, TLS/SSL connections, encrypted storage volumes, and audit logging in CrateDB Cloud. Cloud defaults include encryption at rest, IP allowlists, MFA, and isolated clusters; CrateDB Cloud also holds ISO 27001 and SOC 2 Type II certifications. The security and compliance provisions are useful for organizations with formal controls, while audit logging is specifically described for Cloud.
Support options include a developer community, GitHub, documentation, official support plans, and ticket support. Dedicated includes basic support, and premium support is available. That gives teams routes beyond self-service, though only some support is bundled with a stated tier.
Pricing
CrateDB uses a freemium model. Its free options make evaluation possible without a paid commitment, but limited compute and storage make them a starting point rather than an obvious fit for sustained, larger workloads.
| Plan | Price | What it includes |
|---|---|---|
| Shared Free | free | 2 vCPUs, 2 GiB RAM, 8 GiB storage |
| Shared | Custom pricing | Up to 8 shared vCPUs, 12 GB RAM, 1 TB storage |
| Dedicated | Custom pricing | Up to 9 nodes, 144 vCPUs, 495 GB RAM, 72 TB storage |
| Custom | Custom pricing | Unlimited nodes and storage |
CrateDB Cloud’s Free Plan costs nothing and provides 2 vCPUs, 2 GB RAM, 8 GB storage, and backups once per day; no credit card is required. It is best for lightweight evaluation, not workloads that outgrow those caps.
Cloud Shared costs $0.07 a month, billed Hourly, as displayed. It provides a single-node shared environment with up to 8 shared vCPUs, 12 GB RAM, and 1 TB storage, plus development support. The shared single-node setup is a fit for development or smaller needs, but it lacks the multi-node capacity and uptime SLAs of Dedicated.
Cloud Dedicated costs $0.25 a month, billed Hourly, as displayed. It includes basic support, up to 9 nodes, 144 vCPUs, 495 GB RAM, and 72 TB storage, as well as uptime SLAs, AWS/Azure Private Link, and backups once per hour. It is the more capable managed tier for production requirements, but its listed hourly billing basis and lack of a total projected cost make budgeting important.
Cloud Custom has custom pricing and offers a dedicated environment, unlimited nodes and storage, custom compute, premium support, uptime SLAs, AWS/Azure Private Link, custom backups, and dedicated master nodes. It targets deployments beyond Dedicated’s stated limits; teams should seek a quote before committing.
Platforms
CrateDB supports API, Linux, macOS, self-hosted, web, and Windows use. Linux and macOS installation information is provided, along with Docker and Kubernetes guides. The combination of managed and self-hosted deployment gives infrastructure teams flexibility, while the range of deployment choices means setup and operations will depend on which route they select.
Who it's for
CrateDB is best suited to teams analyzing live operational data across several data types, especially when they want SQL, PostgreSQL compatibility, multiple connectivity routes, and horizontal scaling. Its integrations and managed-service security features also suit organizations connecting analytics tools and pipelines or working under formal security requirements.
It is a weaker fit for buyers who need a published total cost for Shared, Dedicated, or Custom, or whose workloads exceed the free plan but do not justify custom-priced tiers. The free plan’s 8 GB storage and 2 vCPUs are also restrictive for substantial ongoing use.
Pros and cons
- Pros: Six data types in one engine can simplify mixed-data analytics without schema redesign or pre-aggregation.
- Pros: Automatic sharding, replication, failover, and node-based scale-out support growth and availability needs.
- Pros: PostgreSQL wire protocol, HTTP, and integrations with tools such as Tableau, Grafana, Kafka, and dbt offer useful connectivity options.
- Pros: Cloud security defaults, ISO 27001 and SOC 2 Type II certifications, and Private Link on higher tiers address enterprise deployment concerns.
- Cons: The free Cloud allocation is capped at 2 vCPUs, 2 GB RAM, and 8 GB storage, limiting its usefulness beyond evaluation or small workloads.
- Cons: Cloud Shared is a single-node shared environment, while uptime SLAs and hourly backups appear with Dedicated rather than Shared.
- Cons: Shared, Dedicated, and Custom lack published prices, making cost comparison and budget planning harder.
Alternatives
Choose MySQL instead if you want a freemium database with a free trial and Community Edition, or OceanBase Database if its free Community Edition or Enterprise option better matches your needs. TBase is another free database option.
VoltDB is worth considering if you want a free Developer Edition for individual developers and early exploration, with sample apps, tutorials, and documentation. CockroachDB Cloud offers a Standard plan priced at $0.06 a month, billed by cloud usage monthly and metered by the minute, with rates shown for AWS us-east-1 and varying by region. For a free cloud starting point with per-organization quotas, TiDB Cloud Starter provides 25 GiB row storage, 25 GiB column storage, and 250M R.
PrestoDB is a free, self-hosted SQL query engine, while SingleStore Helios has a free Shared workspace for evaluation, development, and non-production testing.
Verdict
Choose CrateDB for live operational analytics when your data spans several types and you want SQL, connectivity flexibility, and a path to scale across nodes. Its breadth and deployment choice are real advantages; look elsewhere if the free caps are too small or if you need predictable published pricing before selecting a larger managed tier.
Getting started
- Visit https://cratedb.com/ and choose managed Cloud or deployment on preferred infrastructure.
- For local deployment, use the Linux or macOS installation information, or the Docker and Kubernetes guides.
- Connect using the PostgreSQL wire protocol or native HTTP endpoint.
- For Cloud, select the free, Shared, Dedicated or Custom plan.
- Use the listed documentation, developer community, GitHub or support options for assistance.
Limits worth knowing
The CrateDB Cloud Free Plan includes 2 vCPUs, 2 GB RAM and 8 GB storage, with backups once per day. Cloud Shared is a single-node environment; Dedicated lists up to 9 nodes and backups once per hour.
Questions
Is CrateDB open source?
Its open-source core is licensed under Apache 2.0 and can run on-premises, at the edge, in the cloud or as a managed service.
Is there a free plan?
Yes. CrateDB Cloud Free is listed as free, with 2 vCPUs, 2 GB RAM, 8 GB storage and daily backups.
What does CrateDB Cloud Shared cost?
It is listed at $0.07 a month, billed hourly as displayed. The Shared environment is single-node and includes development support.
What does CrateDB Cloud Dedicated cost?
It is listed at $0.25 a month, billed hourly as displayed. It includes basic support and lists uptime SLAs and backups once per hour.
Can I run CrateDB myself?
Yes. It can be deployed on preferred infrastructure; installation information is provided for Linux and macOS, with Docker and Kubernetes guides.
Which integrations are listed?
They include Tableau, Power BI, Grafana, Apache Kafka, Apache Spark and dbt, among other tools and services.
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