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DBMS > Dgraph vs. JaguarDB vs. Newts vs. Spark SQL

System Properties Comparison Dgraph vs. JaguarDB vs. Newts vs. Spark SQL

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonJaguarDB  Xexclude from comparisonNewts  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSPerformant, highly scalable DBMS for AI and IoT applicationsTime Series DBMS based on CassandraSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMSKey-value store
Vector DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitedgraph.iowww.jaguardb.comopennms.github.io/­newtsspark.apache.org/­sql
Technical documentationdgraph.io/­docswww.jaguardb.com/­support.htmlgithub.com/­OpenNMS/­newts/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDgraph Labs, Inc.DataJaguar, Inc.OpenNMS GroupApache Software Foundation
Initial release2016201520142014
Current release3.3 July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL V3.0Open Source infoApache 2.0Open Source infoApache 2.0
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 languageGoC++ infothe server part. Clients available in other languagesJavaScala
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSQL-like DML and DDL statements
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
HTTP REST
Java API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaJava
Python
R
Scala
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlno infoPlanned for future releasesrights management via user accountsnono

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More resources
DgraphJaguarDBNewtsSpark SQL
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