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DBMS > AllegroGraph vs. Apache Impala vs. JaguarDB vs. OpenTSDB vs. Sadas Engine

System Properties Comparison AllegroGraph vs. Apache Impala vs. JaguarDB vs. OpenTSDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonJaguarDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAnalytic DBMS for HadoopPerformant, highly scalable DBMS for AI and IoT applicationsScalable Time Series DBMS based on HBaseSADAS 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 DBMSKey-value store
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteallegrograph.comimpala.apache.orgwww.jaguardb.comopentsdb.netwww.sadasengine.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlimpala.apache.org/­impala-docs.htmlwww.jaguardb.com/­support.htmlopentsdb.net/­docs/­build/­html/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaDataJaguar, Inc.currently maintained by Yahoo and other contributorsSADAS s.r.l.
Initial release20042013201520112006
Current release8.0, December 20234.1.0, June 20223.3 July 20238.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2Open Source infoGPL V3.0Open Source infoLGPLcommercial 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 languageC++C++ infothe server part. Clients available in other languagesJavaC++
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
Windows
AIX
Linux
Windows
Data schemeyes infoRDF schemasyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumeric data for metrics, strings for tagsyes
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 possiblenononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
ODBC
HTTP API
Telnet API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBCC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Erlang
Go
Java
Python
R
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infouser defined functions and integration of map-reducenonono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorMulti-source replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.nonononoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accountsnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphApache ImpalaJaguarDBOpenTSDBSadas Engine
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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