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DBMS > Apache Druid vs. Databricks vs. IBM Db2 vs. Lovefield vs. STSdb

System Properties Comparison Apache Druid vs. Databricks vs. IBM Db2 vs. Lovefield vs. STSdb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonLovefield  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionOpen-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.Common in IBM host environments, 2 different versions for host and Windows/LinuxEmbeddable relational database for web apps written in pure JavaScriptKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSKey-value store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitedruid.apache.orgwww.databricks.comwww.ibm.com/­products/­db2google.github.io/­lovefieldgithub.com/­STSSoft/­STSdb4
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databricks.comwww.ibm.com/­docs/­en/­db2github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software Foundation and contributorsDatabricksIBMGoogleSTS Soft SC
Initial release201220131983 infohost version20142011
Current release29.0.1, April 202412.1, October 20162.1.12, February 20174.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infofree version is availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaScriptC#
Server operating systemsLinux
OS X
Unix
hostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariWindows
Data schemeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesyesyesyesno
SQL infoSupport of SQLSQL for queryingwith Databricks SQLyesSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
.NET Client API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
JavaScriptC#
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesnono
TriggersnoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoonly with Windows/Unix/Linux Versionnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes infowith separate tools (MQ, InfoSphere)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDB
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardnono
More information provided by the system vendor
Apache DruidDatabricksIBM Db2 infoformerly named DB2 or IBM Database 2LovefieldSTSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DruidDatabricksIBM Db2 infoformerly named DB2 or IBM Database 2LovefieldSTSdb
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