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DBMS > Datomic vs. HBase vs. Microsoft Azure Synapse Analytics vs. Sadas Engine vs. Sphinx

System Properties Comparison Datomic vs. HBase vs. Microsoft Azure Synapse Analytics vs. Sadas Engine vs. Sphinx

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWide-column store based on Apache Hadoop and on concepts of BigTableElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.datomic.comhbase.apache.orgazure.microsoft.com/­services/­synapse-analyticswww.sadasengine.comsphinxsearch.com
Technical documentationdocs.datomic.comhbase.apache.org/­book.htmldocs.microsoft.com/­azure/­synapse-analyticswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperCognitectApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSADAS s.r.l.Sphinx Technologies Inc.
Initial release20122008201620062001
Current release1.0.6735, June 20232.3.4, January 20218.03.5.1, February 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache version 2commercialcommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaC++C++C++
Server operating systemsAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
hostedAIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesno
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 indexesyesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Proprietary protocol
Supported programming languagesClojure
Java
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
PHP
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoCoprocessors in JavaTransact SQLnono
TriggersBy using transaction functionsyesnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding, horizontal partitioninghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 developmentyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesAccess rights for users, groups and roles according to SQL-standardno

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More resources
DatomicHBaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSadas EngineSphinx
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