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DBMS > Apache Doris vs. Cassandra vs. Google BigQuery vs. GridDB vs. Sphinx

System Properties Comparison Apache Doris vs. Cassandra vs. Google BigQuery vs. GridDB vs. Sphinx

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonCassandra  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGridDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessLarge scale data warehouse service with append-only tablesScalable in-memory time series database optimized for IoT and Big DataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSWide column storeRelational DBMSTime Series DBMSSearch engine
Secondary database modelsVector DBMS infostarting with release V5Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score98.83
Rank#12  Overall
#1  Wide column stores
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
cassandra.apache.orgcloud.google.com/­bigquerygriddb.netsphinxsearch.com
Technical documentationgithub.com/­apache/­doris/­wikicassandra.apache.org/­doc/­latestcloud.google.com/­bigquery/­docsdocs.griddb.netsphinxsearch.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation infoApache top level project, originally developped by FacebookGoogleToshiba CorporationSphinx Technologies Inc.
Initial release20172008201020132001
Current release1.2.2, February 20234.1.3, July 20235.1, August 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemsLinuxBSD
Linux
OS X
Windows
hostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestampno
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.nononono
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like SELECT, DML and DDL statements (CQL)yesSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (SphinxQL)
APIs and other access methodsJDBC
MySQL client
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP/JSON APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesJavaC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions infoin JavaScriptnono
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"noneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
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 within container, eventual consistency across containers
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno infoSince BigQuery is designed for querying dataACID at container levelno
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users can be defined per databaseno
More information provided by the system vendor
Apache DorisCassandraGoogle BigQueryGridDBSphinx
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
GitHub trending repository
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
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