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DBMS > Apache Impala vs. FoundationDB vs. GraphDB vs. Oracle Berkeley DB

System Properties Comparison Apache Impala vs. FoundationDB vs. GraphDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFoundationDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAnalytic DBMS for HadoopOrdered key-value store. Core features are complimented by layers.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Widely used in-process key-value store
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMS
RDF store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websiteimpala.apache.orggithub.com/­apple/­foundationdbwww.ontotext.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationimpala.apache.org/­impala-docs.htmlapple.github.io/­foundationdbgraphdb.ontotext.com/­documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFoundationDBOntotextOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2013201320001994
Current release4.1.0, June 20226.2.28, November 202010.4, October 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-free infosome layers support schemasschema-free and OWL/RDFS-schema support; RDF shapesschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementssupported in specific SQL layer onlystored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducein SQL-layer onlywell-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersnononoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyLinearizable consistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoin SQL-layer onlyyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.no
More information provided by the system vendor
Apache ImpalaFoundationDBGraphDB infoformer name: OWLIMOracle Berkeley DB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
News

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11 September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30 August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23 August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache ImpalaFoundationDBGraphDB infoformer name: OWLIMOracle Berkeley DB
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