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DBMS > LevelDB vs. Oracle Berkeley DB vs. Splice Machine vs. TigerGraph

System Properties Comparison LevelDB vs. Oracle Berkeley DB vs. Splice Machine vs. TigerGraph

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWidely used in-process key-value storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitegithub.com/­google/­leveldbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsplicemachine.comwww.tigergraph.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsplicemachine.com/­how-it-worksdocs.tigergraph.com
DeveloperGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleSplice Machine
Initial release2011199420142017
Current release1.23, February 202118.1.40, May 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infocommercial license availableOpen Source infoAGPL 3.0, commercial license availablecommercial
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 languageC++C, Java, C++ (depending on the Berkeley DB edition)JavaC++
Server operating systemsIllumos
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableyesSQL-like query language (GSQL)
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnonoyes infoJavayes
Triggersnoyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
LevelDBOracle Berkeley DBSplice MachineTigerGraph
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