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DBMS > 4D vs. Apache Druid vs. Databricks vs. Ehcache

System Properties Comparison 4D vs. Apache Druid vs. Databricks vs. Ehcache

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonEhcache  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataThe 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 DBMSRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Websitewww.4d.comdruid.apache.orgwww.databricks.comwww.ehcache.org
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designdocs.databricks.comwww.ehcache.org/­documentation
Developer4D, IncApache Software Foundation and contributorsDatabricksTerracotta Inc, owned by Software AG
Initial release1984201220132009
Current releasev20, April 202329.0.1, April 20243.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsOS X
Windows
Linux
OS X
Unix
hostedAll OS with a Java VM
Data schemeyesyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)schema-free
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.yesnoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingwith Databricks SQLno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
JCache
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
Java
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesno
Triggersyesnoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesyesyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nononoyes
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno
More information provided by the system vendor
4D infoformer name: 4th DimensionApache DruidDatabricksEhcache
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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4D infoformer name: 4th DimensionApache DruidDatabricksEhcache
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