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DBMS > CrateDB vs. RavenDB vs. Riak TS vs. SpaceTime vs. Splice Machine

System Properties Comparison CrateDB vs. RavenDB vs. Riak TS vs. SpaceTime vs. Splice Machine

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRiak TS  Xexclude from comparisonSpaceTime  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSpaceTime is a spatio-temporal DBMS with a focus on performance.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS
Search engine
Document storeTime Series DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument store
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#179  Overall
#87  Relational DBMS
#12  Search engines
Score3.25
Rank#96  Overall
#16  Document stores
Score0.25
Rank#277  Overall
#23  Time Series DBMS
Score0.00
Rank#351  Overall
#5  Spatial DBMS
Score0.86
Rank#185  Overall
#89  Relational DBMS
Websitecrate.ioravendb.netriak.com/­products/­riak-tswww.mireo.hr/­spacetimesplicemachine.com
Technical documentationcrate.io/­docsravendb.net/­docsdoc.splicemachine.com
DeveloperCrateHibernating RhinosBasho TechnologiesMireoSplice Machine
Initial release20132010201520202014
Current release5.3, November 20213.1, March 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoAGPL version 3, commercial license availableOpen SourcecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#ErlangC++Java
Server operating systemsAll OS with a Java 7 (and higher) VMLinux
macOS
Raspberry Pi
Windows
Linux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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
Secondary indexesyesyesrestrictednoyes
SQL infoSupport of SQLyes, but no triggers and constraintsSQL-like query language (RQL)noA subset of ANSI SQL is implementedyes
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
HTTP API
Native Erlang Interface
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
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
C#
C++
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesJavaScript and Erlangnoyes infoJava
Triggersnoyesyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingFixed-grid hypercubesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationselectable replication factorReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMapReduce functions can be defined in LinqyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storednoyes
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 strategyACID, Cluster-wide transaction availablenonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlrights management via user accountsAccess control on document level using the Authorization BundlenoyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CrateDBRavenDBRiak TSSpaceTimeSplice Machine
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more
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