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DBMS > Ehcache vs. Google Cloud Bigtable vs. H2GIS vs. HBase vs. Sadas Engine

System Properties Comparison Ehcache vs. Google Cloud Bigtable vs. H2GIS vs. HBase vs. Sadas Engine

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonHBase  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA 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.Spatial extension of H2Wide-column store based on Apache Hadoop and on concepts of BigTableSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeKey-value store
Wide column store
Spatial DBMSWide column storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.ehcache.orgcloud.google.com/­bigtablewww.h2gis.orghbase.apache.orgwww.sadasengine.com
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­homehbase.apache.org/­book.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperTerracotta Inc, owned by Software AGGoogleCNRSApache Software Foundation infoApache top-level project, originally developed by PowersetSADAS s.r.l.
Initial release20092015201320082006
Current release3.10.0, March 20222.3.4, January 20218.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoLGPL 3.0Open Source infoApache version 2commercial infofree trial version available
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 languageJavaJavaJavaC++
Server operating systemsAll OS with a Java VMhostedLinux
Unix
Windows infousing Cygwin
AIX
Linux
Windows
Data schemeschema-freeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnoyesoptions to bring your own types, AVROyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsJCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes infobased on H2yes infoCoprocessors in Javano
Triggersyes infoCache Event Listenersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceAtomic single-row operationsACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesnoyesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standard

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More resources
EhcacheGoogle Cloud BigtableH2GISHBaseSadas Engine
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