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DBMS > ArcadeDB vs. LevelDB vs. TigerGraph vs. Yaacomo

System Properties Comparison ArcadeDB vs. LevelDB vs. TigerGraph vs. Yaacomo

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonLevelDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Key-value storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitearcadedb.comgithub.com/­google/­leveldbwww.tigergraph.comyaacomo.com
Technical documentationdocs.arcadedb.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.tigergraph.com
DeveloperArcade DataGoogleQ2WEB GmbH
Initial release2021201120172009
Current releaseSeptember 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDcommercialcommercial
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 languageJavaC++C++
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
LinuxAndroid
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like query language, no joinsnoSQL-like query language (GSQL)yes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesJavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Server-side scripts infoStored proceduresnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standard

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ArcadeDBLevelDBTigerGraphYaacomo
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