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DBMS > Databend vs. EXASOL vs. HBase vs. HEAVY.AI vs. MarkLogic

System Properties Comparison Databend vs. EXASOL vs. HBase vs. HEAVY.AI vs. MarkLogic

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEXASOL  Xexclude from comparisonHBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Wide-column store based on Apache Hadoop and on concepts of BigTableA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.exasol.comhbase.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.marklogic.com
Technical documentationdocs.databend.comwww.exasol.com/­resourceshbase.apache.org/­book.htmldocs.heavy.aidocs.marklogic.com
DeveloperDatabend LabsExasolApache Software Foundation infoApache top-level project, originally developed by PowersetHEAVY.AI, Inc.MarkLogic Corp.
Initial release20212000200820162001
Current release1.0.59, April 20232.3.4, January 20215.10, January 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition availablecommercial inforestricted free version is available
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.
Implementation languageRustJavaC++ and CUDAC++
Server operating systemshosted
Linux
macOS
Linux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
Windows
Data schemeyesyesschema-free, schema definition possibleyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesoptions 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.nonononoyes
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLyesyesnoyesyes infoSQL92
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
Vega
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java
Lua
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes infoCoprocessors in Javanoyes infovia XQuery or JavaScript
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDSingle row ACID (across millions of columns)noACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes, with Range Indexes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels

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More resources
DatabendEXASOLHBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MarkLogic
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