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DBMS > Amazon DocumentDB vs. Ehcache vs. Kyligence Enterprise vs. VelocityDB

System Properties Comparison Amazon DocumentDB vs. Ehcache vs. Kyligence Enterprise vs. VelocityDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEhcache  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA widely adopted Java cache with tiered storage optionsA distributed analytics engine for big data, built on top of Apache KylinA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeKey-value storeRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteaws.amazon.com/­documentdbwww.ehcache.orgkyligence.io/­kyligence-enterprisevelocitydb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.ehcache.org/­documentationvelocitydb.com/­UserGuide
DeveloperTerracotta Inc, owned by Software AGKyligence, Inc.VelocityDB Inc
Initial release2019200920162011
Current release3.10.0, March 20227.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemshostedAll OS with a Java VMLinuxAny that supports .NET
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JCacheJDBC
ODBC
RESTful HTTP API
.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java.Net
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoCache Event ListenersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesnoBased on Windows Authentication

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More resources
Amazon DocumentDBEhcacheKyligence EnterpriseVelocityDB
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