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DBMS > Blueflood vs. Databricks vs. Ehcache vs. LeanXcale

System Properties Comparison Blueflood vs. Databricks vs. Ehcache vs. LeanXcale

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A widely adopted Java cache with tiered storage optionsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelTime Series DBMSDocument store
Relational DBMS
Key-value storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websiteblueflood.iowww.databricks.comwww.ehcache.orgwww.leanxcale.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.databricks.comwww.ehcache.org/­documentation
DeveloperRackspaceDatabricksTerracotta Inc, owned by Software AGLeanXcale
Initial release2013201320092015
Current release3.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
hostedAll OS with a Java VM
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.noyesno
Secondary indexesnoyesno
SQL infoSupport of SQLnowith Databricks SQLnoyes infothrough Apache Derby
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
JCacheJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesPython
R
Scala
JavaC
Java
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersnoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesyes infoby using Terracotta Server
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
Immediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infosupports JTA and can work as an XA resourceACID
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.nonoyesyes
User concepts infoAccess controlnono
More information provided by the system vendor
BluefloodDatabricksEhcacheLeanXcale
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BluefloodDatabricksEhcacheLeanXcale
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