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DBMS > Ignite vs. InfinityDB vs. Interbase vs. Kinetica vs. LMDB

System Properties Comparison Ignite vs. InfinityDB vs. Interbase vs. Kinetica vs. LMDB

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonLMDB  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.A Java embedded Key-Value Store which extends the Java Map interfaceLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsA high performant, light-weight, embedded key-value database library
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial 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
Score0.00
Rank#378  Overall
#57  Key-value stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Websiteignite.apache.orgboilerbay.comwww.embarcadero.com/­products/­interbasewww.kinetica.comwww.symas.com/­symas-embedded-database-lmdb
Technical documentationapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manualdocs.embarcadero.com/­products/­interbasedocs.kinetica.comwww.lmdb.tech/­doc
DeveloperApache Software FoundationBoiler Bay Inc.EmbarcaderoKineticaSymas
Initial release20152002198420122011
Current releaseApache Ignite 2.64.0InterBase 2020, December 20197.1, August 20210.9.32, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetJavaCC, C++C
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMAndroid
iOS
Linux
OS X
Windows
LinuxLinux
Unix
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 infoexport as XML data possiblenono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesSQL-like DML and DDL statementsno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Java.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infoInterbase procedure and trigger languageuser defined functionsno
Triggersyes (cache interceptors and events)noyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneInterbase Change ViewsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
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.yesnoyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standardAccess rights for users and roles on table levelno

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More resources
IgniteInfinityDBInterbaseKineticaLMDB
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