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DBMS > GridGain vs. Hypertable vs. RavenDB vs. SAP HANA vs. SQL.JS

System Properties Comparison GridGain vs. Hypertable vs. RavenDB vs. SAP HANA vs. SQL.JS

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonSAP HANA  Xexclude from comparisonSQL.JS  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseIn-memory, column based data store. Available as appliance or cloud servicePort of SQLite to JavaScript
Primary database modelKey-value store
Relational DBMS
Wide column storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitewww.gridgain.comravendb.netwww.sap.com/­products/­hana.htmlsql.js.org
Technical documentationwww.gridgain.com/­docs/­index.htmlravendb.net/­docshelp.sap.com/­hanasql.js.org/­documentation/­index.html
DeveloperGridGain Systems, Inc.Hypertable Inc.Hibernating RhinosSAPAlon Zakai infoenhancements implemented by others
Initial release20072009201020102012
Current releaseGridGain 8.5.10.9.8.11, March 20165.4, July 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono 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 languageJava, C++, .NetC++C#JavaScript
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Appliance or cloud-serviceserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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.yesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (RQL)yesyes infoSQL-92 is not fully supported
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
JavaScript API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesSQLScript, Rno
Triggersyes (cache interceptors and events)noyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor on file system levelMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistencynone
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoAuthorization levels configured per client per databaseyesno

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