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DBMS > HugeGraph vs. Lovefield vs. Riak TS vs. Spark SQL vs. Transbase

System Properties Comparison HugeGraph vs. Lovefield vs. Riak TS vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonRiak TS  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelGraph DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefieldspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationhugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.tiot.jp/­riak-docs/­riak/­ts/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBaiduGoogleOpen Source, formerly Basho TechnologiesApache Software FoundationTransaction Software GmbH
Initial release20182014201520141987
Current release0.92.1.12, February 20173.0.0, September 20223.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open SourceOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptErlangScalaC and C++
Server operating systemsLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesyes infoalso supports composite index and range indexyesrestrictednoyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes, limitedSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGroovy
Java
Python
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoErlangnoyes
TriggersnoUsing read-only observersyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneselectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesno infolinks between datasets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnono
User concepts infoAccess controlUsers, roles and permissionsnononofine grained access rights according to SQL-standard

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More resources
HugeGraphLovefieldRiak TSSpark SQLTransbase
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