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DBMS > Datastax Enterprise vs. TimescaleDB vs. Valentina Server vs. Warp 10

System Properties Comparison Datastax Enterprise vs. TimescaleDB vs. Valentina Server vs. Warp 10

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonTimescaleDB  Xexclude from comparisonValentina Server  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLObject-relational database and reports serverTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelWide column storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.timescale.comwww.valentina-db.netwww.warp10.io
Technical documentationdocs.datastax.comdocs.timescale.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwww.warp10.io/­content/­02_Getting_started
DeveloperDataStaxTimescaleParadigma SoftwareSenX
Initial release2011201719992015
Current release6.8, April 20202.15.0, May 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0
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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaCJava
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesyes
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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infofull PostgreSQL SQL syntaxyesno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBCHTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyesyes infoWarpScript
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"yes, across time and space (hash partitioning) attributesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication with hot standby and reads on replicas infoselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Datastax EnterpriseTimescaleDBValentina ServerWarp 10
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Datastax EnterpriseTimescaleDBValentina ServerWarp 10
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