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DBMS > Hypertable vs. Interbase vs. InterSystems IRIS vs. RavenDB vs. SpatiaLite

System Properties Comparison Hypertable vs. Interbase vs. InterSystems IRIS vs. RavenDB vs. SpatiaLite

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonInterbase  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRavenDB  Xexclude from comparisonSpatiaLite  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopLight-weight proven RDBMS infooriginally from BorlandA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpatial extension of SQLite
Primary database modelWide column storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document storeSpatial DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.embarcadero.com/­products/­interbasewww.intersystems.com/­products/­intersystems-irisravendb.netwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsravendb.net/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperHypertable Inc.EmbarcaderoInterSystemsHibernating RhinosAlessandro Furieri
Initial release20091984201820102008
Current release0.9.8.11, March 2016InterBase 2020, December 20192023.3, June 20235.4, July 20225.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC#C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Android
iOS
Linux
OS X
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Raspberry Pi
Windows
server-less
Data schemeschema-freeyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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.no infoexport as XML data possibleyesno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language (RQL)yes
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageyesyesno
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelInterbase Change ViewsSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesAuthorization levels configured per client per databaseno
More information provided by the system vendor
HypertableInterbaseInterSystems IRISRavenDBSpatiaLite
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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