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DBMS > AntDB vs. Blueflood vs. Ehcache vs. Spark SQL

System Properties Comparison AntDB vs. Blueflood vs. Ehcache vs. Spark SQL

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonBlueflood  Xexclude from comparisonEhcache  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleScalable TimeSeries DBMS based on CassandraA widely adopted Java cache with tiered storage optionsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlblueflood.iowww.ehcache.orgspark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.ehcache.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAsiaInfo Technologies LimitedRackspaceTerracotta Inc, owned by Software AGApache Software Foundation
Initial release201320092014
Current release3.10.0, March 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScala
Server operating systemsLinux
OS X
All OS with a Java VMLinux
OS X
Windows
Data schemeyespredefined schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnonono
SQL infoSupport of SQLSQL2016 compliantnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
HTTP RESTJCacheJDBC
ODBC
Supported programming languagesJavaJava
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersyesnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoby using Terracotta Serveryes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoby using Terracotta Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Tunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnonono

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More resources
AntDBBluefloodEhcacheSpark SQL
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