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DBMS > AgensGraph vs. HEAVY.AI vs. Oracle Rdb vs. Solr vs. ToroDB

System Properties Comparison AgensGraph vs. HEAVY.AI vs. Oracle Rdb vs. Solr vs. ToroDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSolr  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA widely used distributed, scalable search engine based on Apache LuceneA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSSearch engineDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitebitnine.net/­agensgraphgithub.com/­heavyai/­heavydb
www.heavy.ai
www.oracle.com/­database/­technologies/­related/­rdb.htmlsolr.apache.orggithub.com/­torodb/­server
Technical documentationbitnine.net/­documentationdocs.heavy.aiwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsolr.apache.org/­resources.html
DeveloperBitnine Global Inc.HEAVY.AI, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation8Kdata
Initial release20162016198420062016
Current release2.1, December 20185.10, January 20227.4.1.1, 20219.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache Version 2Open Source infoAGPL-V3
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 languageCC++ and CUDAJavaJava
Server operating systemsLinux
OS X
Windows
LinuxHP Open VMSAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)All OS with a Java 7 VM
Data schemedepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes infostring, integer, double, boolean, date, object_id
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.nononoyesno
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyesyesSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoJava plugins
Triggersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes, on a single nodeoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesAccess rights for users and roles

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More resources
AgensGraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Oracle RdbSolrToroDB
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