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DBMS > atoti vs. Hypertable vs. OushuDB vs. Sadas Engine

System Properties Comparison atoti vs. Hypertable vs. OushuDB vs. Sadas Engine

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHypertable  Xexclude from comparisonOushuDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An open source BigTable implementation based on distributed file systems such as HadoopA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelObject oriented DBMSWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteatoti.iowww.oushu.com/­product/­oushuDBwww.sadasengine.com
Technical documentationdocs.atoti.iowww.oushu.com/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperActiveViamHypertable Inc.OushuSADAS s.r.l.
Initial release20092006
Current release0.9.8.11, March 20164.0.1, August 20208.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infofree trial version available
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.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAIX
Linux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.no
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noFull-featured ANSI SQL supportyes
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C++
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresPythonnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoKerberos, SSL and role based accessAccess rights for users, groups and roles according to SQL-standard

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atotiHypertableOushuDBSadas Engine
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