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DBMS > Databricks vs. Hypertable vs. MarkLogic vs. Percona Server for MongoDB vs. Sadas Engine

System Properties Comparison Databricks vs. Hypertable vs. MarkLogic vs. Percona Server for MongoDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHypertable  Xexclude from comparisonMarkLogic  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An open source BigTable implementation based on distributed file systems such as HadoopOperational and transactional Enterprise NoSQL databaseA drop-in replacement for MongoDB Community Edition with enterprise-grade features.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store
Relational DBMS
Wide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.60
Rank#246  Overall
#39  Document stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitewww.databricks.comwww.marklogic.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.sadasengine.com
Technical documentationdocs.databricks.comdocs.marklogic.comdocs.percona.com/­percona-distribution-for-mongodbwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperDatabricksHypertable Inc.MarkLogic Corp.PerconaSADAS s.r.l.
Initial release20132009200120152006
Current release0.9.8.11, March 201611.0, December 20223.4.10-2.10, November 20178.0
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercial inforestricted free version is availableOpen Source infoGPL Version 2commercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++C++
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
LinuxAIX
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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.yesyesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes infoSQL92noyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
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
proprietary protocol using JSONJDBC
ODBC
Proprietary protocol
Supported programming languagesPython
R
Scala
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infovia XQuery or JavaScriptJavaScriptno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionno
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.noyes, with Range Indexesyes infovia In-Memory Engineyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
DatabricksHypertableMarkLogicPercona Server for MongoDBSadas Engine
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHypertableMarkLogicPercona Server for MongoDBSadas Engine
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