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DBMS > CrateDB vs. TimescaleDB vs. Vertica

System Properties Comparison CrateDB vs. TimescaleDB vs. Vertica

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMS
Search engine
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Time Series DBMS
Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.83
Rank#198  Overall
#97  Relational DBMS
#12  Search engines
Score3.14
Rank#93  Overall
#5  Time Series DBMS
Score21.10
Rank#35  Overall
#21  Relational DBMS
Websitecrate.iowww.timescale.comwww.vertica.com
Technical documentationcrate.io/­docsdocs.timescale.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperCrateTimescaleVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201320172005
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java 7 (and higher) VMLinux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.noyesyes
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes, but no triggers and constraintsyes infofull PostgreSQL SQL syntaxyes infonearly full SQL99 without support for indexes and triggers
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
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
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributesSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with hot standby and reads on replicas infoMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
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 strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
CrateDBTimescaleDBVertica infoVertica Analytics Platform
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» 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
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more
Cost-based models and subscription-based models are available
» more
Related products and services
3rd partiesClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CrateDBTimescaleDBVertica infoVertica Analytics Platform
Recent citations in the news

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
24 March 2021, GlobeNewswire

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

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

CrateDB takes distributed SQL DB fully open source with release of v4.5 • DEVCLASS
25 March 2021, DevClass

provided by Google News

Timescale grabs $40M Series B as it goes all in on cloud version of time series database
5 May 2021, TechCrunch

Timescale Launches Industry's First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale
29 October 2020, Business Wire

Timescale scales out and sets its sights on analytics
17 June 2021, ZDNet

AiThority Interview with Oleg Bartunov, CEO at Postgres Professional
5 July 2021, AiThority

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

provided by Google News

Vertica Announces Vertica 11, Delivering on Vision of Unified Analytics
22 July 2021, APN News

GoodData and Vertica Accelerate Cloud-Native Self-Service Analytics
16 July 2021, Database Trends and Applications

GoodData and Vertica Partner to Accelerate Cloud-Native Self-Service Analytics Adoption in the ...
15 July 2021, The Bakersfield Californian

Vertica update delivers on vision of unified analytics
22 July 2021, IT Brief New Zealand

Vertica Launches Version 11: Major Features & Upgrades Introduced
22 July 2021, Analytics India Magazine

provided by Google News

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