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DBMS > Apache IoTDB vs. CrateDB vs. HBase vs. Riak TS

System Properties Comparison Apache IoTDB vs. CrateDB vs. HBase vs. Riak TS

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCrateDB  Xexclude from comparisonHBase  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkDistributed Date Store based on LuceneWide-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 modelTime Series DBMSRelational DBMS
Search engine
Wide column storeTime Series DBMS
Secondary database modelsDocument store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#290  Overall
#24  Time Series DBMS
Score0.92
Rank#180  Overall
#87  Relational DBMS
#11  Search engines
Score45.20
Rank#24  Overall
#2  Wide column stores
Score0.23
Rank#282  Overall
#22  Time Series DBMS
Websiteiotdb.apache.orgcrate.iohbase.apache.orgriak.com/­products/­riak-ts
Technical documentationcrate.io/­docshbase.apache.org
DeveloperApache Software FoundationCrateApache Software Foundation infoApache top-level project, originally developed by PowersetBasho Technologies
Initial release2018201320082015
Current release2.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen 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 languageJavaJavaJavaErlang
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java 7 (and higher) VMLinux
Unix
Windows infousing Cygwin
Linux
OS X
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesoptions 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 SQLSQL-like query languageyes, but no triggers and constraintsnono
APIs and other access methodsJDBCADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Java 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#
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 proceduresnouser defined functionsyes infoCoprocessors in JavaJavaScript and Erlang
Triggersnonoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate 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 datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategySingle 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.yesnoyes
User concepts infoAccess controlnorights management via user accountsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno
More information provided by the system vendor
Apache IoTDBCrateDBHBaseRiak TS
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» 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
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
Internet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» 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
#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
Apache license P ricing for commercial distribution provided by Cloudera and available...
» more

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More resources
Apache IoTDBCrateDBHBaseRiak TS
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Recent citations in the news

The Apache Software Foundation Announces Apache® IoTDB™ as
23 September 2020, GlobeNewswire

Apache IoTDB now a Top-Level Project at ASF
23 September 2020, SDTimes.com

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21 September 2021, SDTimes.com

Apache Promotes IoT Database Project
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CrateDB 4.5 is Now Available as an Open Source Database
25 March 2021, Database Trends and Applications

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

Crate.io Open Sources the Entire Codebase of CrateDB – the
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11 February 2021, GlobeNewswire

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HBase vs Cassandra: Which is The Best NoSQL Database
20 January 2020, Appinventiv

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17 September 2020, ZDNet

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Basho open-sources its Riak TS database for the Internet Of Things
5 May 2016, TechCrunch

Riak TS is designed to maximize uptime
29 September 2016, Opensource.com

Basho releases open-source version of Riak TS
6 May 2016, SDTimes.com

Basho updates Riak TS
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Is Riak A Good NoSQL Database Option?
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