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DBMS > Ehcache vs. EsgynDB vs. Google Cloud Bigtable vs. HarperDB vs. SQL.JS

System Properties Comparison Ehcache vs. EsgynDB vs. Google Cloud Bigtable vs. HarperDB vs. SQL.JS

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Port of SQLite to JavaScript
Primary database modelKey-value storeRelational DBMSKey-value store
Wide column store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.ehcache.orgwww.esgyn.cncloud.google.com/­bigtablewww.harperdb.iosql.js.org
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­bigtable/­docsdocs.harperdb.io/­docssql.js.org/­documentation/­index.html
DeveloperTerracotta Inc, owned by Software AGEsgynGoogleHarperDBAlon Zakai infoenhancements implemented by others
Initial release20092015201520172012
Current release3.10.0, March 20223.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial infofree community edition availableOpen Source
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 languageJavaC++, JavaNode.jsJavaScript
Server operating systemsAll OS with a Java VMLinuxhostedLinux
OS X
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesyesnoyes infoJSON data typesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoSQL-like data manipulation statementsyes infoSQL-92 is not fully supported
APIs and other access methodsJCacheADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JavaScript API
Supported programming languagesJavaAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaScript
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoCustom Functions infosince release 3.1no
Triggersyes infoCache Event Listenersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistencynone
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDAtomic single-row operationsAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes, using LMDBno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesno

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More resources
EhcacheEsgynDBGoogle Cloud BigtableHarperDBSQL.JS
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