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DBMS > Bangdb vs. Cassandra vs. Hive vs. OrigoDB vs. YugabyteDB

System Properties Comparison Bangdb vs. Cassandra vs. Hive vs. OrigoDB vs. YugabyteDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCassandra  Xexclude from comparisonHive  Xexclude from comparisonOrigoDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessdata warehouse software for querying and managing large distributed datasets, built on HadoopA fully ACID in-memory object graph databaseHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Wide column storeRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMSVector DBMS infostarting with release V5Document store
Wide column store
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
Score101.89
Rank#12  Overall
#1  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitebangdb.comcassandra.apache.orghive.apache.orgorigodb.comwww.yugabyte.com
Technical documentationdocs.bangdb.comcassandra.apache.org/­doc/­latestcwiki.apache.org/­confluence/­display/­Hive/­Homeorigodb.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperSachin Sinha, BangDBApache Software Foundation infoApache top level project, originally developped by FacebookApache Software Foundation infoinitially developed by FacebookRobert Friberg et alYugabyte Inc.
Initial release2012200820122009 infounder the name LiveDB2017
Current releaseBangDB 2.0, October 20214.1.3, July 20233.1.3, April 20222.19, September 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2Open Source infoApache Version 2Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC, C++JavaJavaC#C and C++
Server operating systemsLinuxBSD
Linux
OS X
Windows
All OS with a Java VMLinux
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesyesdepending on used data model
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialrestricted infoonly equality queries, not always the best performing solutionyesyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statementsnoyes, PostgreSQL compatible
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
ODBC
Thrift
.NET Client API
HTTP API
LINQ
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
.NetC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceyesyes infosql, plpgsql, C
Triggersyes, Notifications (with Streaming only)yesnoyes infoDomain Eventsyes
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"Shardinghorizontal partitioning infoclient side managed; servers are not synchronizedHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factorSource-replica replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsnoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infoWrite ahead logyes infobased on RocksDB
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 modenoyesno
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per objectAccess rights for users, groups and rolesRole based authorizationyes
More information provided by the system vendor
BangdbCassandraHiveOrigoDBYugabyteDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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YugabyteDB is an open source distributed SQL database for cloud native transactional...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Systems of record and engagement for cloud native applications that require resilience,...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
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2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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Apache 2.0 license for the database
» more

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More resources
BangdbCassandraHiveOrigoDBYugabyteDB
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