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DBMS > HBase vs. JaguarDB vs. SWC-DB vs. YugabyteDB

System Properties Comparison HBase vs. JaguarDB vs. SWC-DB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonJaguarDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTablePerformant, highly scalable DBMS for AI and IoT applicationsA high performance, scalable Wide Column DBMSHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelWide column storeKey-value store
Vector DBMS
Wide column storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitehbase.apache.orgwww.jaguardb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.yugabyte.com
Technical documentationhbase.apache.org/­book.htmlwww.jaguardb.com/­support.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetDataJaguar, Inc.Alex KashirinYugabyte Inc.
Initial release2008201520202017
Current release2.3.4, January 20213.3 July 20230.5, April 20212.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGPL V3.0Open Source infoGPL V3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageJavaC++ infothe server part. Clients available in other languagesC++C and C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxLinuxLinux
OS X
Data schemeschema-free, schema definition possibleyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query languageyes, PostgreSQL compatible
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Proprietary protocol
Thrift
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++
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanonoyes infosql, plpgsql, C
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accountsyes
More information provided by the system vendor
HBaseJaguarDBSWC-DB infoSuper Wide Column DatabaseYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
HBaseJaguarDBSWC-DB infoSuper Wide Column DatabaseYugabyteDB
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