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DBMS > CrateDB vs. GridDB vs. HBase vs. Riak TS

System Properties Comparison CrateDB vs. GridDB vs. HBase vs. Riak TS

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGridDB  Xexclude from comparisonHBase  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneScalable in-memory time series database optimized for IoT and Big DataWide-column store based on Apache Hadoop and on concepts of BigTableRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMS
Search engine
Time Series DBMSWide column storeTime Series DBMS
Secondary database modelsDocument store
Time Series DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#180  Overall
#87  Relational DBMS
#11  Search engines
Score1.30
Rank#151  Overall
#10  Time Series DBMS
Score45.20
Rank#24  Overall
#2  Wide column stores
Score0.23
Rank#282  Overall
#22  Time Series DBMS
Websitecrate.iogriddb.nethbase.apache.orgriak.com/­products/­riak-ts
Technical documentationcrate.io/­docsdocs.griddb.nethbase.apache.org
DeveloperCrateToshiba CorporationApache Software Foundation infoApache top-level project, originally developed by PowersetBasho Technologies
Initial release2013201320082015
Current release4.6, February 20212.3.4, January 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache version 2Open 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.
Cloudera Operational Database: Cloud-native autonomous Apache HBase for unparalleled scale, performance and reliability. Automate and simplify database management with capabilities like auto-scale, auto-heal, and auto-tune.
Implementation languageJavaC++JavaErlang
Server operating systemsAll OS with a Java 7 (and higher) VMLinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampoptions to bring your own types, AVROno
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.nononono
Secondary indexesyesyesnorestricted
SQL infoSupport of SQLyes, but no triggers and constraintsSQL92, SQL-like TQL (Toshiba Query Language)nono
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
Proprietary protocolJava API
RESTful HTTP API
Thrift
HTTP API
Native Erlang Interface
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
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
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 functionsnoyes infoCoprocessors in JavaJavaScript and Erlang
Triggersnoyesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono 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 strategyACID at container levelSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes
User concepts infoAccess controlrights management via user accountsAccess rights for users can be defined per databaseAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno
More information provided by the system vendor
CrateDBGridDBHBaseRiak TS
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Apache HBase is the leading NoSQL, distributed database management system, well suited...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
No single point of failure ensures very high availability with multiple customers...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Internet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Apple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
GitHub trending repository
» more
#1 largest NoSQL database by revenue
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Apache license P ricing for commercial distribution provided by Cloudera and available...
» more

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More resources
CrateDBGridDBHBaseRiak TS
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