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DBMS > EsgynDB vs. Netezza vs. OpenTSDB

System Properties Comparison EsgynDB vs. Netezza vs. OpenTSDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionData warehouse and analytics appliance part of IBM PureSystemsScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Websitewww.esgyn.cnwww.ibm.com/­products/­netezzaopentsdb.net
Technical documentationopentsdb.net/­docs/­build/­html/­index.html
DeveloperEsgynIBMcurrently maintained by Yahoo and other contributors
Initial release201520002011
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava
Server operating systemsLinuxLinux infoincluded in applianceLinux
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tags
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
HTTP API
Telnet API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C++
Fortran
Java
Lua
Perl
Python
R
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptno

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More resources
EsgynDBNetezza infoAlso called PureData System for Analytics by IBMOpenTSDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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