DBMS > CrateDB vs. EXASOL vs. InfluxDB vs. TiDB vs. Weaviate
System Properties Comparison CrateDB vs. EXASOL vs. InfluxDB vs. TiDB vs. Weaviate
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| Name | CrateDB Xexclude from comparison | EXASOL Xexclude from comparison | InfluxDB Xexclude from comparison | TiDB Xexclude from comparison | Weaviate Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | Distributed Database based on Lucene | High-performance, in-memory, MPP database specifically designed for in-memory analytics. | DBMS for storing time series, events and metrics | TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability. | An AI-native realtime vector database engine that integrates scalable machine learning models. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Document store Spatial DBMS Search engine Time Series DBMS Vector DBMS | Relational DBMS | Time Series DBMS | Relational DBMS | Vector DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Relational DBMS | Spatial DBMS  with GEO package | Document store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | cratedb.com | www.exasol.com | www.influxdata.com/products/influxdb-overview | pingcap.com | github.com/weaviate/weaviate weaviate.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | cratedb.com/docs | www.exasol.com/resources | docs.influxdata.com/influxdb | docs.pingcap.com/tidb/stable | weaviate.io/developers/weaviate | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | Crate | Exasol | PingCAP, Inc. | Weaviate B.V. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2013 | 2000 | 2013 | 2016 | 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 2.7.6, April 2024 | 8.0.0, March 2024 | 1.19, May 2023 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | Open Source | commercial | Open Source MIT-License; commercial enterprise version available | Open Source Apache 2.0 | Open Source commercial license available with Weaviate Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform. | TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Implementation language | Java | Go | Go, Rust | Go | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support | Linux OS X through Homebrew | Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | Flexible Schema (defined schema, partial schema, schema free) | yes | schema-free | yes | yes, maps to GraphQL interface | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes | yes | Numeric data and Strings | yes | yes string, int, float, geo point, date, cross reference, fuzzy references | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | yes | no | yes | yes all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | yes, but no triggers and constraints, and PostgreSQL compatibility | yes | SQL-like query language | yes | GraphQL is used as query language | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | ADO.NET JDBC ODBC PostgreSQL wire protocol Prometheus Remote Read/Write RESTful HTTP API | .Net JDBC ODBC WebSocket | HTTP API JSON over UDP | GORM JDBC ODBC Proprietary protocol SQLAlchemy | GraphQL query language RESTful HTTP/JSON API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | .NET Erlang Go community maintained clientJava JavaScript (Node.js) community maintained clientPerl community maintained clientPHP Python R Ruby community maintained clientScala community maintained client | Java Lua Python R | .Net Clojure Erlang Go Haskell Java JavaScript JavaScript (Node.js) Lisp Perl PHP Python R Ruby Rust Scala | Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | JavaScript / TypeScript Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | user defined functions (Javascript) | user defined functions | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | no | yes | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | Sharding | Sharding | Sharding in enterprise version only | horizontal partitioning (by key range) | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | Configurable replication on table/partition-level | selectable replication factor in enterprise version only | Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas. | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | no | yes Hadoop integration | no | yes with TiSpark Connector | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency Read-after-write consistency on record level | Immediate Consistency | Immediate Consistency | Eventual Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | no | yes | no | yes full support since version 6.6 | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | no unique row identifiers can be used for implementing an optimistic concurrency control strategy | ACID | no | ACID | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes | yes Depending on used storage engine | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | rights management via user accounts | Access rights for users, groups and roles according to SQL-standard | simple rights management via user accounts | Fine grained access rights according to SQL-standard | API Keys OpenID Connect Discovery | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| CrateDB | EXASOL | InfluxDB | TiDB | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | The enterprise database for time series, documents, and vectors. Distributed - Native... » more | InfluxData is the creator of InfluxDB , the open source time series database. It... » more | TiDB is an advanced open-source, distributed SQL database for modern application... » more | Weaviate is an open source vector database that is robust, scalable, cloud-native,... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | Response time in milliseconds: e ven for complex ad-hoc queries. Massive scaling... » more | Time to Value InfluxDB is available in all the popular languages and frameworks,... » more | - HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without... » more | Flexible deployment - Free, open source or fully-managed cloud vector database service... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics... » more | IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available... » more | TiDB is ideal for transactional applications that require extreme scalability and... » more | As a database supporting the development of generative AI and semantic search applications... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | Across all continents, CrateDB is used by companies of all sizes to meet the most... » more | InfluxData has more than 1,900 paying customers, including customers include MuleSoft,... » more | Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud... » more | All companies that have data. » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | The CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®... » more | Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances » more | 34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors... » more | As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | See CrateDB pricing > » more | Open source core with closed source clustering available either on-premise or on... » more | TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise... » more | Weaviate is open-source, and free to use. Weaviate is also available as a fully managed... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| News | A Detailed Guide to C# TimeSpan The Final Frontier: Using InfluxDB on the International Space Station Getting the Current Time in C#: A Guide Sync Data from InfluxDB v2 to v3 With the Quix Template Infrastructure Monitoring Basics: Getting Started with Telegraf, InfluxDB, and Grafana | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| CrateDB | EXASOL | InfluxDB | TiDB | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DB-Engines blog posts | Why Build a Time Series Data Platform? Time Series DBMS are the database category with the fastest increase in popularity Time Series DBMS as a new trend? | Weaviate, an ANN Database with CRUD support CrateDB Announces Availability of CrateDB on Google Cloud Marketplace CrateDB Partners with HiveMQ to Deliver a Seamless Data Management Architecture for IoT CrateDB Appoints Sergey Gerasimenko as New CTO How We Designed CrateDB as a Realtime SQL DBMS for the Internet of Things Real-Time Analytics Database Company CrateDB Names Lars Färnström as New CEO provided by Google News Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption Exasol gets jolt of AI with Espresso suite of capabilities It's Back to the Database Future for Exasol CEO Tewes Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics Exasol brings SaaS-flex to on-prem and public cloud systems provided by Google News Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services Amazon Timestream: Managed InfluxDB for Time Series Data InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency Time-series database startup InfluxData debuts self-managed version of InfluxDB provided by Google News How PingCAP transformed TiDB into a serverless DBaaS using Amazon S3 and Amazon EBS | Amazon Web Services How a new database architecture supports scale and reliability in TiDB PingCAP Launches TiDB 7.5, Enhancing Distributed SQL Database Tech TiDB by PingCAP Leads Data Management Revolution at GIDS 2024, Empowering India's Burgeoning Developer ... Google Cloud's C3D Instances Provide Strong Performance Value For PingCAP's TiDB provided by Google News Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ... Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services Foley Represents Cortical Ventures in $50M Series B Round for Weaviate Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases provided by Google News | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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