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DBMS > Ehcache vs. Google Cloud Datastore vs. Sadas Engine vs. SiriDB vs. TigerGraph

System Properties Comparison Ehcache vs. Google Cloud Datastore vs. Sadas Engine vs. SiriDB vs. TigerGraph

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeDocument storeRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score4.36
Rank#72  Overall
#12  Document stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.ehcache.orgcloud.google.com/­datastorewww.sadasengine.comsiridb.comwww.tigergraph.com
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­datastore/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.comdocs.tigergraph.com
DeveloperTerracotta Inc, owned by Software AGGoogleSADAS s.r.l.Cesbit
Initial release20092008200620172017
Current release3.10.0, March 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infofree trial version availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CC++
Server operating systemsAll OS with a Java VMhostedAIX
Linux
Windows
LinuxLinux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes infoNumeric datayes
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.nonononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesnoSQL-like query language (GSQL)
APIs and other access methodsJCachegRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Server-side scripts infoStored proceduresnousing Google App Enginenonoyes
Triggersyes infoCache Event ListenersCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication using Paxosnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infomanaged by 'Learn by Usage'yesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardsimple rights management via user accountsRole-based access control

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More resources
EhcacheGoogle Cloud DatastoreSadas EngineSiriDBTigerGraph
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