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DBMS > Graph Engine vs. Microsoft Azure Table Storage vs. TimescaleDB vs. Warp 10

System Properties Comparison Graph Engine vs. Microsoft Azure Table Storage vs. TimescaleDB vs. Warp 10

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTimescaleDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Wide Column Store for rapid development using massive semi-structured datasetsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
Key-value store
Wide column storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.90
Rank#186  Overall
#16  Graph DBMS
#31  Key-value stores
Score5.40
Rank#77  Overall
#5  Wide column stores
Score4.52
Rank#83  Overall
#5  Time Series DBMS
Score0.18
Rank#295  Overall
#26  Time Series DBMS
Websitewww.graphengine.ioazure.microsoft.com/­en-us/­services/­storage/­tableswww.timescale.comwww.warp10.io
Technical documentationwww.graphengine.io/­docs/­manualdocs.timescale.comwww.warp10.io/­content/­02_Getting_started
DeveloperMicrosoftMicrosoftTimescaleSenX
Initial release2010201220172015
Current release2.6.0, February 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CCJava
Server operating systems.NEThostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnumerics, 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.nonoyesno
Secondary indexesnoyesno
SQL infoSupport of SQLnonoyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
F#
Visual Basic
.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 proceduresyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes infoWarpScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with hot standby and reads on replicas infoselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Graph Engine infoformer name: TrinityMicrosoft Azure Table StorageTimescaleDBWarp 10
Specific characteristicsTimescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosTime-series Analytics TimescaleDB boosts the performance of PostgreSQL for time-series...
» more
Key customersTransferWise, Maersk, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco, Nutanix, Warner...
» more
Market metricsWith over 12,700 GitHub stars and growing, 1,000,000 active databases, and an active...
» more
Licensing and pricing modelsTimescaleDB is available as a self-hosted product under two licenses, the Timescale...
» more

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More resources
Graph Engine infoformer name: TrinityMicrosoft Azure Table StorageTimescaleDBWarp 10
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