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DBMS > Blueflood vs. EJDB vs. EsgynDB vs. Kinetica

System Properties Comparison Blueflood vs. EJDB vs. EsgynDB vs. Kinetica

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonEJDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFully vectorized database across both GPUs and CPUs
Primary database modelTime Series DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websiteblueflood.iogithub.com/­Softmotions/­ejdbwww.esgyn.cnwww.kinetica.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikigithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.kinetica.com
DeveloperRackspaceSoftmotionsEsgynKinetica
Initial release2013201220152012
Current release7.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++, JavaC, C++
Server operating systemsLinux
OS X
server-lessLinuxLinux
Data schemepredefined schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTin-process shared libraryADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJava Stored Proceduresuser defined functions
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
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.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
BluefloodEJDBEsgynDBKinetica
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