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DBMS > Apache Doris vs. Citus vs. Graphite vs. ScyllaDB

System Properties Comparison Apache Doris vs. Citus vs. Graphite vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonCitus  Xexclude from comparisonGraphite  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSWide column store
Secondary database modelsDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitedoris.apache.org
github.com/­apache/­doris
www.citusdata.comgithub.com/­graphite-project/­graphite-webwww.scylladb.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.citusdata.comgraphite.readthedocs.iodocs.scylladb.com
DeveloperApache Software Foundation, originally contributed from BaiduChris DavisScyllaDB
Initial release2017201020062015
Current release1.2.2, February 20238.1, December 2018ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaCPythonC++
Server operating systemsLinuxLinuxLinux
Unix
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Sockets
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes, Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsnoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoAccess rights for users can be defined per object
More information provided by the system vendor
Apache DorisCitusGraphiteScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Apache DorisCitusGraphiteScyllaDB
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