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DBMS > EXASOL vs. GridGain vs. TerminusDB vs. WakandaDB

System Properties Comparison EXASOL vs. GridGain vs. TerminusDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGridGain  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GridGain is an in-memory computing platform, built on Apache IgniteScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Graph DBMSObject oriented DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.exasol.comwww.gridgain.comterminusdb.comwakanda.github.io
Technical documentationwww.exasol.com/­resourceswww.gridgain.com/­docs/­index.htmlterminusdb.github.io/­terminusdb/­#wakanda.github.io/­doc
DeveloperExasolGridGain Systems, Inc.DataChemist Ltd.Wakanda SAS
Initial release2000200720182012
Current releaseGridGain 8.5.111.0.0, January 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetProlog, RustC++, JavaScript
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query language (WOQL)no
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yesyes
Triggersyesyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Journaling Streamsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementationsRole-based access controlyes

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EXASOLGridGainTerminusDB infoformer name was DataChemistWakandaDB
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