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DBMS > CrateDB vs. Kinetica vs. Microsoft Azure Table Storage vs. TimescaleDB

System Properties Comparison CrateDB vs. Kinetica vs. Microsoft Azure Table Storage vs. TimescaleDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneFully vectorized database across both GPUs and CPUsA Wide Column Store for rapid development using massive semi-structured datasetsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS
Search engine
Relational DBMSWide column storeTime Series DBMS
Secondary database modelsDocument store
Time Series DBMS
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
Score0.73
Rank#204  Overall
#100  Relational DBMS
Score5.25
Rank#71  Overall
#5  Wide column stores
Score3.96
Rank#84  Overall
#5  Time Series DBMS
Websitecrate.iowww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.timescale.com
Technical documentationcrate.io/­docswww.kinetica.com/­docsdocs.timescale.com
DeveloperCrateKineticaMicrosoftTimescale
Initial release2013201220122017
Current release7.1, August 2021
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C
Server operating systemsAll OS with a Java 7 (and higher) VMLinuxhostedLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes, but no triggers and constraintsSQL-like DML and DDL statementsnoyes infofull PostgreSQL SQL syntax
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
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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 strategynooptimistic lockingACID
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.noyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlrights management via user accountsAccess rights for users and roles on table levelAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBKineticaMicrosoft Azure Table StorageTimescaleDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Native and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
The largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CrateDBKineticaMicrosoft Azure Table StorageTimescaleDB
Recent citations in the news

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

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

Crate.io Announces CrateDB Will Switch to an Elasticsearch Fork Following License Change
11 February 2021, GlobeNewswire

Crate.io Open Sources the Entire Codebase of CrateDB – the
24 March 2021, GlobeNewswire

CrateDB 4.5 takes distributed SQL database open source
24 March 2021, TechTarget

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Kinetica Now Accessible as a Service on Microsoft Azure
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“Global GPU Database Market SWOT Analysis 2021 by Top Manufacturers: Kinetica , Omnisci , Sqream , Neo4j , Nvidia , Brytlyt , Jedox , Blazegraph , Blazingdb , Zilliz , Heterodb , H2o.Ai , Fastdata.Io , Fuzzy Logix , Graphistry , Anaconda , etc….” – Puck77
21 October 2021, Puck77

GPU Database Market 2021-2028: Major Trends and Key Developments | Kinetica, Omnisci, Sqream, Neo4j – Puck77
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