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DBMS > Ignite vs. Interbase vs. PostgreSQL vs. Prometheus vs. RavenDB

System Properties Comparison Ignite vs. Interbase vs. PostgreSQL vs. Prometheus vs. RavenDB

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonInterbase  Xexclude from comparisonPostgreSQL  Xexclude from comparisonPrometheus  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Light-weight proven RDBMS infooriginally from BorlandWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen-source Time Series DBMS and monitoring systemOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSDocument store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websiteignite.apache.orgwww.embarcadero.com/­products/­interbasewww.postgresql.orgprometheus.ioravendb.net
Technical documentationapacheignite.readme.io/­docsdocs.embarcadero.com/­products/­interbasewww.postgresql.org/­docsprometheus.io/­docsravendb.net/­docs
DeveloperApache Software FoundationEmbarcaderoPostgreSQL Global Development Group infowww.postgresql.org/­developerHibernating Rhinos
Initial release201519841989 info1989: Postgres, 1996: PostgreSQL20152010
Current releaseApache Ignite 2.6InterBase 2020, December 201916.3, May 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetCCGoC#
Server operating systemsLinux
OS X
Solaris
Windows
Android
iOS
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyno
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.yesno infoexport as XML data possibleyes infospecific XML-type available, but no XML query functionality.no infoImport of XML data possible
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyes infostandard with numerous extensionsnoSQL-like query language (RQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON 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#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoInterbase procedure and trigger languageuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes
Triggersyes (cache interceptors and events)yesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonepartitioning by range, list and (since PostgreSQL 11) by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Interbase Change ViewsSource-replica replication infoother methods possible by using 3rd party extensionsyes infoby FederationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneDefault 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 integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID, Cluster-wide transaction available
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.yesyesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoAuthorization levels configured per client per database

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