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DBMS > Bangdb vs. Datomic vs. FoundationDB vs. Ignite

System Properties Comparison Bangdb vs. Datomic vs. FoundationDB vs. Ignite

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonIgnite  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionConverged and high performance database for device data, events, time series, document and graphDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOrdered key-value store. Core features are complimented by layers.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitebangdb.comwww.datomic.comgithub.com/­apple/­foundationdbignite.apache.org
Technical documentationdocs.bangdb.comdocs.datomic.comapple.github.io/­foundationdbapacheignite.readme.io/­docs
DeveloperSachin Sinha, BangDBCognitectFoundationDBApache Software Foundation
Initial release2012201220132015
Current releaseBangDB 2.0, October 20211.0.6735, June 20236.2.28, November 2020Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, ClojureC++C++, Java, .Net
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesno infosome layers support typingyes
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolnosupported in specific SQL layer onlyANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsin SQL-layer onlyyes (compute grid and cache interceptors can be used instead)
Triggersyes, Notifications (with Streaming only)By using transaction functionsnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)none infoBut extensive use of caching in the application peersyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes inforecommended only for testing and developmentyes
User concepts infoAccess controlyes (enterprise version only)nonoSecurity Hooks for custom implementations

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More resources
BangdbDatomicFoundationDBIgnite
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