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DBMS > 4D vs. Apache Druid vs. Databricks vs. InfinityDB vs. TerminusDB

System Properties Comparison 4D vs. Apache Druid vs. Databricks vs. InfinityDB vs. TerminusDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonInfinityDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 Java embedded Key-Value Store which extends the Java Map interfaceScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Key-value storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.4d.comdruid.apache.orgwww.databricks.comboilerbay.comterminusdb.com
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designdocs.databricks.comboilerbay.com/­infinitydb/­manualterminusdb.github.io/­terminusdb/­#
Developer4D, IncApache Software Foundation and contributorsDatabricksBoiler Bay Inc.DataChemist Ltd.
Initial release19842012201320022018
Current releasev20, April 202329.0.1, April 20244.011.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaProlog, Rust
Server operating systemsOS X
Windows
Linux
OS X
Unix
hostedAll OS with a Java VMLinux
Data schemeyesyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.yesnoyesnono
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingwith Databricks SQLnoSQL-like query language (WOQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
JavaJavaScript
Python
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basednoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesyesnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoRole-based access control
More information provided by the system vendor
4D infoformer name: 4th DimensionApache DruidDatabricksInfinityDBTerminusDB infoformer name was DataChemist
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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4D infoformer name: 4th DimensionApache DruidDatabricksInfinityDBTerminusDB infoformer name was DataChemist
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