Overview

CrateDB brings time-series, JSON, full-text, vector, geospatial, and structured data into one database. SQL includes joins, aggregations, and window functions, which the maker says can operate across billions of rows without pre-aggregation or schema redesign. That combination makes it a candidate for mixed analytical workloads where retaining familiar SQL matters.

It is available as a managed service or for deployment on preferred infrastructure. The open-source core is Apache 2.0 licensed and can run on-premises, at the edge, or in the cloud. PostgreSQL wire protocol support and a native HTTP endpoint give applications two routes to connect.

Its scope spans Distributed SQL Databases, Columnar Databases, OLAP Databases, Spatial Databases, and Multimodel Databases, within the broader Database Software category.

Key features

One engine for varied data

Supporting six stated data types in one engine can reduce the need to split a workload by data shape. The SQL feature set includes joins, aggregations, and window functions; the stated ability to query billions of rows without pre-aggregation is relevant to teams that want to analyze operational data without a separate preparation step. These are broad capabilities, not a reason to assume every workload will fit equally well.

Scale and connectivity

Built-in replication, automatic failover, automatic sharding, and horizontal scale-out by adding nodes address availability and growth without making those tasks wholly manual. PostgreSQL protocol compatibility can help fit CrateDB into an existing SQL-oriented stack, while HTTP provides a native alternative. Integrations include Tableau, Power BI, Grafana, Kafka, Spark, and dbt, giving analytics and data-pipeline teams familiar connection points.

Security and operations

Security capabilities include authentication, role-based access control, TLS/SSL, 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. These controls make the managed option more concrete for teams with security requirements, while self-managed deployments retain responsibility for their own operating environment.

Deployment guidance covers Linux and macOS installation, Docker, and Kubernetes. Support channels include a developer community, GitHub, documentation, official support plans, and ticket support; Dedicated includes basic support, and Custom offers premium support.

Pricing

CrateDB has free and custom-priced options, alongside cloud tiers whose prices are displayed as hourly billing rates despite the monthly unit shown. That distinction matters for budgeting: CrateDB Cloud Shared is 0.07 USD per month (billed Hourly, as displayed), and CrateDB Cloud Dedicated is 0.25 USD per month (billed Hourly, as displayed).

Shared Free — 0.00 USD per free: 2 vCPUs, 2 GiB RAM, and 8 GiB storage. It is a small starting point for evaluation, not a generous production allocation.
CrateDB Cloud Free Plan — 0.00 USD per free: 2 vCPUs, 2 GB RAM, 8 GB storage, daily backups, and no credit card requirement. This is the clearest low-friction cloud evaluation tier, though the storage and compute caps are modest.
Shared — custom pricing: Up to 8 shared vCPUs, 12 GB RAM, and 1 TB storage. It offers more headroom than free, but no dedicated environment or support terms are stated for this tier.
CrateDB Cloud Shared — 0.07 USD per month (billed Hourly, as displayed): A single-node shared environment with up to 8 shared vCPUs, 12 GB RAM, and 1 TB storage, plus development support. It suits development and smaller workloads; the single-node design is the key limit for teams requiring a multi-node deployment.
Dedicated — custom pricing: Up to 9 nodes, 144 vCPUs, 495 GB RAM, and 72 TB storage. Its capacity ceiling is substantially higher than Shared, but a price is not provided.
CrateDB Cloud Dedicated — 0.25 USD per month (billed Hourly, as displayed): A dedicated environment with up to 9 nodes, 144 vCPUs, 495 GB RAM, 72 TB storage, basic support, uptime SLAs, AWS/Azure Private Link, and hourly backups. It is the more suitable cloud choice when dedicated capacity, availability commitments, or private connectivity matter.
Custom — custom pricing: Unlimited nodes and storage, with custom compute, premium support, uptime SLAs, AWS/Azure Private Link, custom backups, and dedicated master nodes. It is aimed at deployments that exceed standard tier limits or need tailored operations; cost requires a custom quote.
CrateDB Cloud Custom — custom pricing: Adds a dedicated environment with unlimited nodes and storage, custom compute and backups, premium support, uptime SLAs, AWS/Azure Private Link, and dedicated master nodes. It fits bespoke cloud requirements rather than teams seeking a fixed-cost entry point.

Platforms

CrateDB supports API, Linux, macOS, self-hosted, web, and Windows environments. The combination of managed cloud and self-hosting is useful for teams with mixed deployment needs, though the installation guidance specifically names Linux and macOS, Docker, and Kubernetes.

Who it's for

CrateDB is a strong fit for teams analyzing live operational data that spans several formats and want SQL access, horizontal scaling, and either managed or self-managed deployment. It is also worth considering where PostgreSQL protocol compatibility and existing integrations can simplify fit with a current stack. Teams needing a single shared node can start with Shared; those requiring multi-node scale, hourly backups, private links, or uptime SLAs should assess Dedicated. It is a weaker fit for buyers who need a published fixed price for larger deployments before engaging on custom pricing.

Pros and cons

Pro: Six data types in one engine, paired with joins, aggregations, and window functions, suits mixed operational analytics better than a narrow single-format design.
Pro: Replication, failover, sharding, and node-based horizontal scale address availability and growth directly.
Pro: Apache 2.0 core and managed or self-hosted deployment leave room to choose where the database runs.
Pro: Cloud security defaults, certifications, and Dedicated tier SLAs make the managed option more substantial for teams with operational controls to meet.
Con: The free tiers cap out at 2 vCPUs and 8 GB storage, limiting their usefulness beyond evaluation or small workloads.
Con: Shared Cloud is single-node, so it does not provide the multi-node deployment ceiling of Dedicated.
Con: Shared and Dedicated cloud prices are shown with a per-month unit but described as billed hourly, which complicates straightforward cost comparison.
Con: Dedicated and Custom tiers have custom pricing, making budget comparison less immediate than with a stated fixed rate.

Alternatives

MySQL is worth considering for readers who want a freemium database with a free plan and SQL and NoSQL applications in its Community Edition.

TiDB Cloud is an alternative for teams comparing free managed entry points; its Starter tier provides 25 GiB row storage, 25 GiB column storage, and 250M R.

CockroachDB Cloud suits readers comparing a paid cloud database with a free plan and minute-metered monthly billing; its Standard rate is shown as 0.06 USD per month, with AWS us-east-1 rates varying by region.

OceanBase Database is another freemium option, with a free Community Edition described as an open-source distributed database with full kernel capabilities.

SingleStore Helios is worth comparing if a free shared workspace for evaluation, development, and non-production testing is the priority.

VoltDB offers a free Developer Edition for individual developers and early exploration, with local or cloud use plus sample apps, tutorials, and documentation.

YDB is a free alternative with an Apache 2.0 open-source edition that can be self-hosted, as well as a managed serverless option.

Amazon RDS is a paid service with a free tier; its Free Tier credits are valid for up to 12 months, with legacy accounts potentially receiving 750 hours per month for up to 12 months.

Verdict

Choose CrateDB when live operational analytics must cover varied data types in one SQL-accessible system and deployment flexibility matters. Its combination of data breadth, scaling features, and managed or Apache 2.0 self-hosted options is the central reason to shortlist it. Look elsewhere if a small free tier is not enough and you need predictable published pricing for a larger deployment.

	CrateDB	Snowflake Horizon Catalog
Free plan	Yes	No
Free trial	No	No
Paid from	—	—
Open source	No	No
Platforms	api, Linux, macOS, self-hosted, Web, Windows	Web
Free plan	Yes	—

CrateDB vs Snowflake Horizon Catalog

CrateDB

Snowflake Horizon Catalog