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DBMS > Ehcache vs. Fauna vs. Vertica

System Properties Comparison Ehcache vs. Fauna vs. Vertica

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFauna  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFauna (previously named FaunaDB) provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelKey-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.49
Rank#56  Overall
#7  Key-value stores
Score1.67
Rank#135  Overall
#22  Document stores
#12  Graph DBMS
#66  Relational DBMS
#9  Time Series DBMS
Score20.68
Rank#35  Overall
#21  Relational DBMS
Websitewww.ehcache.orgfauna.comwww.vertica.com
Technical documentationwww.ehcache.org/­documentationdocs.fauna.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperTerracotta Inc, owned by Software AGFauna, Inc.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release200920142005
Current release3.8.1, September 2019Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesno infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScala
Server operating systemsAll OS with a Java VMhostedLinux
Data schemeschema-freeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes
Secondary indexesnoyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnonoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJCacheRESTful HTTP APIADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesJavaC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioning infoconsistent hashingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoIdentity management, authentication, and access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
EhcacheFaunaVertica infoVertica Analytics Platform
Specific characteristicsServerless database delivered as an API Web-native security model with attribute...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantages100% serverless , no connection pooling bottlenecks, or cold starts unlike legacy...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosJavascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersShiftX
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsUsage-based pricing including a free tier
» more
Cost-based models and subscription-based models are available
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EhcacheFaunaVertica infoVertica Analytics Platform
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