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DBMS > Ehcache vs. Google Cloud Spanner vs. HarperDB vs. Heroic

System Properties Comparison Ehcache vs. Google Cloud Spanner vs. HarperDB vs. Heroic

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHarperDB  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelKey-value storeRelational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitewww.ehcache.orgcloud.google.com/­spannerwww.harperdb.iogithub.com/­spotify/­heroic
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­spanner/­docsdocs.harperdb.io/­docsspotify.github.io/­heroic
DeveloperTerracotta Inc, owned by Software AGGoogleHarperDBSpotify
Initial release2009201720172014
Current release3.10.0, March 20223.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infofree community edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsJava
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Data schemeschema-freeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.nononono
Secondary indexesnoyesyesyes infovia Elasticsearch
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011SQL-like data manipulation statementsno
APIs and other access methodsJCachegRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesJavaGo
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
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1no
Triggersyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication with 3 replicas for regional instances.yes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID infoStrict serializable isolationAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles

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More resources
EhcacheGoogle Cloud SpannerHarperDBHeroic
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