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DBMS > ArcadeDB vs. EXASOL vs. LevelDB vs. TigerGraph

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

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonEXASOL  Xexclude from comparisonLevelDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Embeddable 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-time
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSKey-value storeGraph 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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitearcadedb.comwww.exasol.comgithub.com/­google/­leveldbwww.tigergraph.com
Technical documentationdocs.arcadedb.comwww.exasol.com/­resourcesgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.tigergraph.com
DeveloperArcade DataExasolGoogle
Initial release2021200020112017
Current releaseSeptember 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like query language, no joinsyesnoSQL-like query language (GSQL)
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
.Net
JDBC
ODBC
WebSocket
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJavaJava
Lua
Python
R
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoRole-based access control

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More resources
ArcadeDBEXASOLLevelDBTigerGraph
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