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DBMS > AllegroGraph vs. Bangdb vs. Databricks vs. Oracle NoSQL vs. TerarkDB

System Properties Comparison AllegroGraph vs. Bangdb vs. Databricks vs. Oracle NoSQL vs. TerarkDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBangdb  Xexclude from comparisonDatabricks  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSConverged and high performance database for device data, events, time series, document and graphThe 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 multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Graph DBMS
Time Series DBMS
Document store
Relational DBMS
Document store
Key-value store
Relational DBMS
Key-value store
Secondary database modelsSpatial DBMSSpatial DBMS
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
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteallegrograph.combangdb.comwww.databricks.comwww.oracle.com/­database/­nosql/­technologies/­nosqlgithub.com/­bytedance/­terarkdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.bangdb.comdocs.databricks.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperFranz Inc.Sachin Sinha, BangDBDatabricksOracleByteDance, originally Terark
Initial release20042012201320112016
Current release8.0, December 2023BangDB 2.0, October 202123.3, December 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBSD 3commercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC++
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
Solaris SPARC/x86
Data schemeyes infoRDF schemasschema-freeFlexible Schema (defined schema, partial schema, schema free)Support Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsoptionalno
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 possiblenoyesnono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL like support with command line toolwith Databricks SQLSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIC++ API
Java API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
Python
Python
R
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functions and aggregatesnono
Triggersyesyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)yesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modenoyes infooff heap cacheyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes (enterprise version only)Access rights for users and rolesno
More information provided by the system vendor
AllegroGraphBangdbDatabricksOracle NoSQLTerarkDB
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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