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DBMS > EJDB vs. Google Cloud Spanner vs. Splice Machine vs. TerminusDB

System Properties Comparison EJDB vs. Google Cloud Spanner vs. Splice Machine vs. TerminusDB

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitegithub.com/­Softmotions/­ejdbcloud.google.com/­spannersplicemachine.comterminusdb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­spanner/­docssplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#
DeveloperSoftmotionsGoogleSplice MachineDataChemist Ltd.
Initial release2012201720142018
Current release3.1, March 202111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaProlog, Rust
Server operating systemsserver-lesshostedLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yesSQL-like query language (WOQL)
APIs and other access methodsin-process shared librarygRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes infoJavayes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar PartitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud DataflowYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
EJDBGoogle Cloud SpannerSplice MachineTerminusDB infoformer name was DataChemist
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How TerminusDB is commercializing its open source graph database
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Trinity College spinout TerminusDB secures €3.6m in investment
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