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DBMS > CrateDB vs. Galaxybase vs. Vitess

System Properties Comparison CrateDB vs. Galaxybase vs. Vitess

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDistributed Database based on LuceneScalable, ACID-compliant native distributed parallel graph platformScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Graph DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#221  Overall
#35  Document stores
#4  Spatial DBMS
#15  Search engines
#18  Time Series DBMS
#7  Vector DBMS
Score0.00
Rank#400  Overall
#39  Graph DBMS
Score1.18
Rank#209  Overall
#97  Relational DBMS
Websitecratedb.comgalaxybase.comvitess.io
Technical documentationcratedb.com/­docsvitess.io/­docs
DeveloperCrateChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司The Linux Foundation, PlanetScale
Initial release201320172013
Current releaseNov 20, November 202115.0.2, December 2022
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase 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.PlanetScale: The easiest way to deploy Vitess in the cloud. Get the scalability of Vitess without all the work. Start your fully managed database with PlanetScale today.
Implementation languageJavaC and JavaGo
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinuxDocker
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)Strong typed schemayes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Go
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions (Javascript)user defined procedures and functionsyes infoproprietary syntax
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlrights management via user accountsRole-based access controlUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
CrateDBGalaxybaseVitess
Specific characteristicsCrateDB is an open-source distributed SQL database that spreads data and processing...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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CrateDBGalaxybaseVitess
Recent citations in the news

CrateDB Announces New Executive Leadership Appointments
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Crate.io raises $10M to grow its database platform
15 June 2021, VentureBeat

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16 May 2017, Business Wire

Crate.io Expands CrateDB Cloud with the Launch of CrateDB Edge
15 April 2021, GlobeNewswire

CrateDB Tackles Machine Analytics with Scale-Out SQL Database
14 December 2016, Datanami

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