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DBMS > Apache Druid vs. Elasticsearch vs. Microsoft Azure SQL Database vs. Netezza vs. RocksDB

System Properties Comparison Apache Druid vs. Elasticsearch vs. Microsoft Azure SQL Database vs. Netezza vs. RocksDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonElasticsearch  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricDatabase as a Service offering with high compatibility to Microsoft SQL ServerData warehouse and analytics appliance part of IBM PureSystemsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Search engineRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitedruid.apache.orgwww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.ibm.com/­products/­netezzarocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsElasticMicrosoftIBMFacebook, Inc.
Initial release20122010201020002013
Current release30.0.0, June 20248.6, January 2023V129.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoElastic LicensecommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMhostedLinux infoincluded in applianceLinux
Data schemeyes infoschema-less columns are supportedschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesno
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesno
SQL infoSupport of SQLSQL for queryingSQL-like query languageyesyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyesTransact SQLyesno
Triggersnoyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes, with always 3 replicas availableSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes
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-standardUsers with fine-grained authorization conceptno

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More resources
Apache DruidElasticsearchMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBMRocksDB
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