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DBMS > Bangdb vs. Datastax Enterprise vs. Heroic vs. JaguarDB

System Properties Comparison Bangdb vs. Datastax Enterprise vs. Heroic vs. JaguarDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHeroic  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Wide column storeTime Series DBMSKey-value store
Vector DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector 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
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Websitebangdb.comwww.datastax.com/­products/­datastax-enterprisegithub.com/­spotify/­heroicwww.jaguardb.com
Technical documentationdocs.bangdb.comdocs.datastax.comspotify.github.io/­heroicwww.jaguardb.com/­support.html
DeveloperSachin Sinha, BangDBDataStaxSpotifyDataJaguar, Inc.
Initial release2012201120142015
Current releaseBangDB 2.0, October 20216.8, April 20203.3 July 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache 2.0Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinuxLinux
OS X
Linux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statements (CQL); Spark SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononono
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)configurable replication factor, datacenter aware, advanced replication for edge computingyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, 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.yes, run db with in-memory only modeyesnono
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per objectrights management via user accounts
More information provided by the system vendor
BangdbDatastax EnterpriseHeroicJaguarDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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BangdbDatastax EnterpriseHeroicJaguarDB
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