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DBMS > Hypertable vs. Riak KV vs. Sadas Engine vs. Warp 10

System Properties Comparison Hypertable vs. Riak KV vs. Sadas Engine vs. Warp 10

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonWarp 10  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelWide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.sadasengine.comwww.warp10.io
Technical documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.warp10.io/­content/­02_Getting_started
DeveloperHypertable Inc.OpenSource, formerly Basho TechnologiesSADAS s.r.l.SenX
Initial release2009200920062015
Current release0.9.8.11, March 20163.2.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyes
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 indexesrestricted infoonly exact value or prefix value scansrestrictedyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsC++ API
Thrift
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
HTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoErlangnoyes infoWarpScript
Triggersnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelselectable replication factornoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono infolinks between data sets can be storedyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlnoyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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HypertableRiak KVSadas EngineWarp 10
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