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DBMS > Graph Engine vs. IBM Db2 Event Store vs. LevelDB vs. SQLite

System Properties Comparison Graph Engine vs. IBM Db2 Event Store vs. LevelDB vs. SQLite

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLevelDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed Event Store optimized for Internet of Things use casesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWidely used embeddable, in-process RDBMS
Primary database modelGraph DBMS
Key-value store
Event Store
Time Series DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score103.35
Rank#10  Overall
#7  Relational DBMS
Websitewww.graphengine.iowww.ibm.com/­products/­db2-event-storegithub.com/­google/­leveldbwww.sqlite.org
Technical documentationwww.graphengine.io/­docs/­manualwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sqlite.org/­docs.html
DeveloperMicrosoftIBMGoogleDwayne Richard Hipp
Initial release2010201720112000
Current release2.01.23, February 20213.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree developer edition availableOpen Source infoBSDOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC and C++C++C
Server operating systems.NETLinux infoLinux, macOS, Windows for the developer additionIllumos
Linux
OS X
Windows
server-less
Data schemeyesyesschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesnoyes infonot rigid because of 'dynamic typing' concept.
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.nononono
Secondary indexesnonoyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenoyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC#
C++
F#
Visual Basic
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyesyesnono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes infovia file-system locks
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
Graph Engine infoformer name: TrinityIBM Db2 Event StoreLevelDBSQLite
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