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DBMS > EXASOL vs. Immudb vs. InfinityDB vs. PostGIS

System Properties Comparison EXASOL vs. Immudb vs. InfinityDB vs. PostGIS

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonImmudb  Xexclude from comparisonInfinityDB  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A Java embedded Key-Value Store which extends the Java Map interfaceSpatial extension of PostgreSQL
Primary database modelRelational DBMSKey-value storeKey-value storeSpatial DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitewww.exasol.comgithub.com/­codenotary/­immudb
immudb.io
boilerbay.compostgis.net
Technical documentationwww.exasol.com/­resourcesdocs.immudb.ioboilerbay.com/­infinitydb/­manualpostgis.net/­documentation
DeveloperExasolCodenotaryBoiler Bay Inc.
Initial release2000202020022005
Current release1.2.3, April 20224.03.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
All OS with a Java VM
Data schemeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesSQL-like syntaxnoyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC protocol
PostgreSQL wire protocol
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesJava
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functionsnonouser defined functions
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoyes infobased on PostgreSQL

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More resources
EXASOLImmudbInfinityDBPostGIS
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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