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DBMS > Bangdb vs. Datomic vs. FeatureBase vs. Hypertable

System Properties Comparison Bangdb vs. Datomic vs. FeatureBase vs. Hypertable

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonFeatureBase  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines 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 durabilityReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Websitebangdb.comwww.datomic.comwww.featurebase.com
Technical documentationdocs.bangdb.comdocs.datomic.comdocs.featurebase.com
DeveloperSachin Sinha, BangDBCognitectMolecula and Pilosa Open Source ContributorsHypertable Inc.
Initial release2012201220172009
Current releaseBangDB 2.0, October 20211.0.7075, December 20232022, May 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infolimited edition freecommercialOpen Source infoGNU version 3. Commercial 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++Java, ClojureGoC++
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesno
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL like support with command line toolnoSQL queriesno
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIgRPC
JDBC
Kafka Connector
ODBC
C++ API
Thrift
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
Java
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsno
Triggersyes, Notifications (with Streaming only)By using transaction functionsnono
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 peersyesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
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)yes, using Linux fsyncyes
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)nono

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More resources
BangdbDatomicFeatureBaseHypertable
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