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

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

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonEhcache  Xexclude from comparisonLeanXcale  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA widely adopted Java cache with tiered storage optionsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSKey-value storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iowww.ehcache.orgwww.leanxcale.comspark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.ehcache.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceTerracotta Inc, owned by Software AGLeanXcaleApache Software Foundation
Initial release2013200920152014
Current release3.10.0, March 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen 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 schemepredefined schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnonono
SQL infoSupport of SQLnonoyes infothrough Apache DerbySQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJCacheJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Supported programming languagesJavaC
Java
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersnoyes 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Tunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnonono

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BluefloodEhcacheLeanXcaleSpark SQL
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