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DBMS > Databend vs. Datomic vs. Drizzle vs. HBase

System Properties Comparison Databend vs. Datomic vs. Drizzle vs. HBase

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonHBase  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.datomic.comhbase.apache.org
Technical documentationdocs.databend.comdocs.datomic.comhbase.apache.org/­book.html
DeveloperDatabend LabsCognitectDrizzle project, originally started by Brian AkerApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2021201220082008
Current release1.0.59, April 20231.0.7075, December 20237.2.4, September 20122.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJava, ClojureC++Java
Server operating systemshosted
Linux
macOS
All OS with a Java VMFreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
Data schemeyesyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVRO
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 indexesnoyesyesno
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIJDBCJava API
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
C
C++
Java
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyes infoCoprocessors in Java
TriggersnoBy using transaction functionsno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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 inforecommended only for testing and developmentyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
DatabendDatomicDrizzleHBase
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