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DBMS > Apache Doris vs. Ehcache vs. Google Cloud Bigtable vs. RDFox vs. Sadas Engine

System Properties Comparison Apache Doris vs. Ehcache vs. Google Cloud Bigtable vs. RDFox vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRDFox  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA widely adopted Java cache with tiered storage optionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High performance knowledge graph and semantic reasoning engineSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSKey-value storeKey-value store
Wide column store
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.ehcache.orgcloud.google.com/­bigtablewww.oxfordsemantic.techwww.sadasengine.com
Technical documentationgithub.com/­apache/­doris/­wikiwww.ehcache.org/­documentationcloud.google.com/­bigtable/­docsdocs.oxfordsemantic.techwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation, originally contributed from BaiduTerracotta Inc, owned by Software AGGoogleOxford Semantic TechnologiesSADAS s.r.l.
Initial release20172009201520172006
Current release1.2.2, February 20233.10.0, March 20226.0, Septermber 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++
Server operating systemsLinuxAll OS with a Java VMhostedLinux
macOS
Windows
AIX
Linux
Windows
Data schemeyesschema-freeschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methodsJDBC
MySQL client
JCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoby using Terracotta ServerShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServerInternal replication in Colossus, and regional replication between two clusters in different zonesreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesnoyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Roles, resources, and access typesAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DorisEhcacheGoogle Cloud BigtableRDFoxSadas Engine
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