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DBMS > Apache Doris vs. Ehcache vs. Netezza vs. Prometheus vs. ScyllaDB

System Properties Comparison Apache Doris vs. Ehcache vs. Netezza vs. Prometheus vs. ScyllaDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonEhcache  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA widely adopted Java cache with tiered storage optionsData warehouse and analytics appliance part of IBM PureSystemsOpen-source Time Series DBMS and monitoring systemCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitedoris.apache.org
github.com/­apache/­doris
www.ehcache.orgwww.ibm.com/­products/­netezzaprometheus.iowww.scylladb.com
Technical documentationgithub.com/­apache/­doris/­wikiwww.ehcache.org/­documentationprometheus.io/­docsdocs.scylladb.com
DeveloperApache Software Foundation, originally contributed from BaiduTerracotta Inc, owned by Software AGIBMScyllaDB
Initial release20172009200020152015
Current release1.2.2, February 20233.10.0, March 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC++
Server operating systemsLinuxAll OS with a Java VMLinux infoincluded in applianceLinux
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric 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.nonono infoImport of XML data possibleno
Secondary indexesyesnoyesnoyes infocluster global secondary indices
SQL infoSupport of SQLyesnoyesnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
MySQL client
JCacheJDBC
ODBC
OLE DB
RESTful HTTP/JSON APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJavaJavaC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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 functionsnoyesnoyes, Lua
Triggersnoyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoby using Terracotta ServerShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServerSource-replica replicationyes infoby Federationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)noneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization conceptnoAccess rights for users can be defined per object
More information provided by the system vendor
Apache DorisEhcacheNetezza infoAlso called PureData System for Analytics by IBMPrometheusScyllaDB
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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More resources
Apache DorisEhcacheNetezza infoAlso called PureData System for Analytics by IBMPrometheusScyllaDB
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