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DBMS > Apache Druid vs. Cassandra vs. LeanXcale vs. ObjectBox vs. Sphinx

System Properties Comparison Apache Druid vs. Cassandra vs. LeanXcale vs. ObjectBox vs. Sphinx

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCassandra  Xexclude from comparisonLeanXcale  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesExtremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeKey-value store
Relational DBMS
Object oriented DBMSSearch engine
Secondary database modelsVector DBMS infostarting with release V5Time Series DBMS
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
Score98.83
Rank#12  Overall
#1  Wide column stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitedruid.apache.orgcassandra.apache.orgwww.leanxcale.comobjectbox.iosphinxsearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designcassandra.apache.org/­doc/­latestdocs.objectbox.iosphinxsearch.com/­docs
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top level project, originally developped by FacebookLeanXcaleObjectBox LimitedSphinx Technologies Inc.
Initial release20122008201520172001
Current release29.0.1, April 20244.1.3, July 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2commercialOpen Source infoApache License 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingSQL-like SELECT, DML and DDL statements (CQL)yes infothrough Apache DerbynoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary native APIProprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
Java
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infono "single point of failure"noneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infoRepresentation of geographical distribution of servers is possibleonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per objectyesno
More information provided by the system vendor
Apache DruidCassandraLeanXcaleObjectBoxSphinx
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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