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DBMS > AllegroGraph vs. Apache Impala vs. Databricks vs. Ehcache vs. Firebird

System Properties Comparison AllegroGraph vs. Apache Impala vs. Databricks vs. Ehcache vs. Firebird

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonFirebird  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAnalytic DBMS for HadoopThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A widely adopted Java cache with tiered storage optionsFirebird is an open source RDBMS forked from Borland's InterBase
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSDocument store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Websiteallegrograph.comimpala.apache.orgwww.databricks.comwww.ehcache.orgwww.firebirdsql.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlimpala.apache.org/­impala-docs.htmldocs.databricks.comwww.ehcache.org/­documentationwww.firebirdsql.org/­en/­reference-manuals
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaDatabricksTerracotta Inc, owned by Software AGFirebird Foundation
Initial release20042013201320092000 infoAs fork of Borland's InterBase
Current release8.0, December 20234.1.0, June 20223.10.0, March 20225.0.0, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoInitial Developer's Public License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC and C++
Server operating systemsLinux
OS X
Windows
LinuxhostedAll OS with a Java VMAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Data schemeyes infoRDF schemasyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenoyesno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementswith Databricks SQLnoyes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JCacheADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBCPython
R
Scala
JavaC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infouser defined functions and integration of map-reduceuser defined functions and aggregatesnoPSQL
Triggersyesnoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryesyes infoby using Terracotta ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writers
Durability infoSupport for making data persistentyesyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
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 KerberosnoUsers with fine-grained authorization concept
More information provided by the system vendor
AllegroGraphApache ImpalaDatabricksEhcacheFirebird
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Supported database models : In addition to the Document store and Relational DBMS...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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