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

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

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonNewts  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSTime Series DBMS based on CassandraSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelGraph DBMSTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Websitedgraph.ioopennms.github.io/­newtsspark.apache.org/­sqlwww.speedb.io
Technical documentationdgraph.io/­docsgithub.com/­OpenNMS/­newts/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDgraph Labs, Inc.OpenNMS GroupApache Software FoundationSpeedb
Initial release2016201420142020
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0; 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 languageGoJavaScalaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnonono
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP REST
Java API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaJava
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyesSharding infobased on Cassandrayes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftselectable replication factor infobased on Cassandranoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 dataACIDnonoyes
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.nonoyes
User concepts infoAccess controlno infoPlanned for future releasesnonono
More information provided by the system vendor
DgraphNewtsSpark SQLSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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DgraphNewtsSpark SQLSpeedb
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