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DBMS > AgensGraph vs. AllegroGraph vs. LevelDB vs. Spark SQL

System Properties Comparison AgensGraph vs. AllegroGraph vs. LevelDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAllegroGraph  Xexclude from comparisonLevelDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh performance, persistent RDF store with additional support for Graph DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
Relational DBMS
Document store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeRelational DBMS
Secondary database modelsSpatial 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
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebitnine.net/­agensgraphallegrograph.comgithub.com/­google/­leveldbspark.apache.org/­sql
Technical documentationbitnine.net/­documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBitnine Global Inc.Franz Inc.GoogleApache Software Foundation
Initial release2016200420112014
Current release2.1, December 20188.0, December 20231.23, February 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoLimited community edition freeOpen Source infoBSDOpen 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 languageCC++Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemedepending on used data modelyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 infobulk load of XML files possiblenono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesSPARQL is used as query languagenoSQL-like DML and DDL statements
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP API
SPARQL
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancewith Federationnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationnono
More information provided by the system vendor
AgensGraphAllegroGraphLevelDBSpark SQL
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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