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DBMS > Apache Cassandra vs. Apache Druid vs. Stardog

System Properties Comparison Apache Cassandra vs. Apache Druid vs. Stardog

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonApache Druid  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score106.65
Rank#11  Overall
#1  Wide column stores
Score2.79
Rank#89  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score1.59
Rank#136  Overall
#11  Graph DBMS
#6  RDF stores
Websitecassandra.apache.orgdruid.apache.orgwww.stardog.com
Technical documentationcassandra.apache.org/­doc/­latestdruid.apache.org/­docs/­latest/­designdocs.stardog.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookApache Software Foundation and contributorsStardog-Union
Initial release200820122010
Current release5.0-rc1, July 202430.0.0, June 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache license v2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Unix
Linux
macOS
Windows
Data schemeschema-freeyes infoschema-less columns are supportedschema-free and OWL/RDFS-schema support
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.nonono infoImport/export of XML data possible
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL for queryingYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infomanual/auto, time-basednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, via HDFS, S3 or other storage enginesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per objectRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and roles
More information provided by the system vendor
Apache CassandraApache DruidStardog
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More resources
Apache CassandraApache DruidStardog
Recent citations in the news

Best practices for running Apache Cassandra with Amazon EBS
8 November 2024, AWS Blog

IBM plans to buy open source Cassandra wrangler DataStax
25 February 2025, The Register

New Apache Cassandra 5.0 gives open source NoSQL database a scalability and performance boost
6 September 2024, VentureBeat

Apache Cassandra survey highlights growing adoption for AI workloads
11 November 2024, Blocks and Files

IBM to buy Cassandra specialist DataStax
25 February 2025, The Stack

provided by Google News

Imply Announces the Availability of Imply Polaris, a Database-as-a-Service Built from Apache Druid, on Microsoft Azure
26 June 2024, Business Wire

How to connect DataGrip to Apache Druid
18 October 2021, Towards Data Science

Apache Druid Takes Its Place In The Pantheon Of Databases
16 June 2022, The Next Platform

Imply advances Apache Druid real-time analytics database
20 September 2022, TechTarget

Apache Druid 25.0 Delivers Multi-Stage Query Engine and Kubernetes Task Management
19 January 2023, InfoQ.com

provided by Google News



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