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DBMS > EsgynDB vs. FatDB vs. OpenTSDB vs. WakandaDB

System Properties Comparison EsgynDB vs. FatDB vs. OpenTSDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFatDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable Time Series DBMS based on HBaseWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.esgyn.cnopentsdb.netwakanda.github.io
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlwakanda.github.io/­doc
DeveloperEsgynFatCloudcurrently maintained by Yahoo and other contributorsWakanda SAS
Initial release2015201220112012
Current release2.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPLOpen Source infoAGPLv3, extended commercial license 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 languageC++, JavaC#JavaC++, JavaScript
Server operating systemsLinuxWindowsLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes
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 indexesyesyesno
SQL infoSupport of SQLyesno infoVia inetgration in SQL Servernono
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
Telnet API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#Erlang
Go
Java
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresyes infovia applicationsnoyes
Triggersnoyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factorselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsnoyes

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More resources
EsgynDBFatDBOpenTSDBWakandaDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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