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DBMS > AllegroGraph vs. Apache Phoenix vs. atoti vs. InfinityDB vs. Sadas Engine

System Properties Comparison AllegroGraph vs. Apache Phoenix vs. atoti vs. InfinityDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Phoenix  Xexclude from comparisonatoti  Xexclude from comparisonInfinityDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA scale-out RDBMS with evolutionary schema built on Apache HBaseAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A Java embedded Key-Value Store which extends the Java Map interfaceSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSObject oriented DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.00
Rank#383  Overall
#59  Key-value stores
Score0.00
Rank#385  Overall
#159  Relational DBMS
Websiteallegrograph.comphoenix.apache.orgatoti.ioboilerbay.comwww.sadasengine.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlphoenix.apache.orgdocs.atoti.ioboilerbay.com/­infinitydb/­manualwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperFranz Inc.Apache Software FoundationActiveViamBoiler Bay Inc.SADAS s.r.l.
Initial release2004201420022006
Current release8.0, December 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20194.08.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercial infofree versions availablecommercialcommercial infofree trial version available
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 languageJavaJavaJavaC++
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
All OS with a Java VMAIX
Linux
Windows
Data schemeyes infoRDF schemasyes infolate-bound, schema-on-read capabilitiesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.no infobulk load of XML files possiblenonono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLSPARQL is used as query languageyesMultidimensional Expressions (MDX)noyes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsPythonnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding, horizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphApache PhoenixatotiInfinityDBSadas Engine
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