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DBMS > chDB vs. Databricks vs. Ehcache

System Properties Comparison chDB vs. Databricks vs. Ehcache

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Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseThe 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 options
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#358  Overall
#152  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Websitegithub.com/­chdb-io/­chdbwww.databricks.comwww.ehcache.org
Technical documentationdoc.chdb.iodocs.databricks.comwww.ehcache.org/­documentation
DeveloperDatabricksTerracotta Inc, owned by Software AG
Initial release202320132009
Current release3.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsserver-lesshostedAll OS with a Java VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes
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 indexesyesno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)with Databricks SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
Python
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 datayesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approach
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno
More information provided by the system vendor
chDBDatabricksEhcache
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
chDBDatabricksEhcache
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