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DBMS > Databricks vs. Ehcache vs. Transwarp ArgoDB

System Properties Comparison Databricks vs. Ehcache vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionThe 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 optionsDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score3.98
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#385  Overall
#157  Relational DBMS
Websitewww.databricks.comwww.ehcache.orgwww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.databricks.comwww.ehcache.org/­documentationdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperDatabricksTerracotta Inc, owned by Software AGTranswarp
Initial release20132009
Current release3.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedAll OS with a Java VM
Data 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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache
Supported programming languagesPython
R
Scala
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesno
Triggersyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlno

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DatabricksEhcacheTranswarp ArgoDB
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