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DBMS > CrateDB vs. Dolt vs. eXtremeDB vs. Riak TS

System Properties Comparison CrateDB vs. Dolt vs. eXtremeDB vs. Riak TS

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDolt  Xexclude from comparisoneXtremeDB  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDistributed Database based on LuceneA MySQL compatible DBMS with Git-like versioning of data and schemaNatively in-memory DBMS with options for persistency, high-availability and clusteringRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
Time Series DBMS
Time Series DBMS
Secondary database modelsRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitecratedb.comgithub.com/­dolthub/­dolt
www.dolthub.com
www.mcobject.com
Technical documentationcratedb.com/­docsdocs.dolthub.comwww.mcobject.com/­docs/­extremedb.htmwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperCrateDoltHub IncMcObjectOpen Source, formerly Basho Technologies
Initial release2013201820012015
Current release8.2, 20213.0.0, September 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
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.
Implementation languageJavaGoC and C++Erlang
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono infosupport of XML interfaces availableno
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesyes infowith the option: eXtremeSQLyes, limited
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
CLI Client
HTTP REST
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes infocurrently in alpha releaseyesErlang
Triggersnoyesyes infoby defining eventsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno infolinks between datasets can be stored
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 strategyACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlrights management via user accountsOnly one user is configurable, and must be specified in the config file at startupno
More information provided by the system vendor
CrateDBDolteXtremeDBRiak TS
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
With hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
For server use cases, there is a simple per-server license irrespective of the number...
» more

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CrateDBDolteXtremeDBRiak TS
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