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DBMS > Ehcache vs. Google Cloud Firestore vs. Snowflake vs. TimescaleDB

System Properties Comparison Ehcache vs. Google Cloud Firestore vs. Snowflake vs. TimescaleDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSnowflake  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Cloud-based data warehousing service for structured and semi-structured dataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeDocument storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.55
Rank#69  Overall
#8  Key-value stores
Score9.97
Rank#47  Overall
#8  Document stores
Score125.38
Rank#9  Overall
#6  Relational DBMS
Score5.33
Rank#72  Overall
#4  Time Series DBMS
Websitewww.ehcache.orgfirebase.google.com/­products/­firestorewww.snowflake.comwww.timescale.com
Technical documentationwww.ehcache.org/­documentationfirebase.google.com/­docs/­firestoredocs.snowflake.net/­manuals/­index.htmldocs.timescale.com
DeveloperTerracotta Inc, owned by Software AGGoogleSnowflake Computing Inc.Timescale
Initial release2009201720142017
Current release3.10.0, March 20222.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java VMhostedhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyesyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJCacheAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
CLI Client
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsuser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infoCache Event Listenersyes, with Cloud Functionsno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingyesyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes 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.yesnono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard

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More resources
EhcacheGoogle Cloud FirestoreSnowflakeTimescaleDB
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