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DBMS > GridDB vs. IBM Cloudant vs. SAP HANA vs. TimescaleDB

System Properties Comparison GridDB vs. IBM Cloudant vs. SAP HANA vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSAP HANA  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDatabase as a Service offering based on Apache CouchDBIn-memory, column based data store. Available as appliance or cloud serviceA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.34
Rank#147  Overall
#10  Time Series DBMS
Score3.49
Rank#91  Overall
#15  Document stores
Score56.24
Rank#19  Overall
#12  Relational DBMS
Score3.72
Rank#89  Overall
#5  Time Series DBMS
Websitegriddb.netwww.ibm.com/­cloud/­cloudantwww.sap.com/­products/­hana.htmlwww.timescale.com
Technical documentationdocs.griddb.netcloud.ibm.com/­docs/­Cloudanthelp.sap.com/­hanadocs.timescale.com
DeveloperToshiba CorporationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014SAPTimescale
Initial release2013201020102017
Current release4.6, February 20212.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC
Server operating systemsLinuxhostedAppliance or cloud-serviceLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampnoyesnumerics, 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 indexesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocolRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptSQLScript, Ruser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelno infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.yesnoyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users can be defined per databaseyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBIBM CloudantSAP HANATimescaleDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsGitHub trending repository
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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More resources
GridDBIBM CloudantSAP HANATimescaleDB
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