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DBMS > Ehcache vs. HarperDB vs. Microsoft Azure Data Explorer vs. Percona Server for MongoDB vs. RocksDB

System Properties Comparison Ehcache vs. HarperDB vs. Microsoft Azure Data Explorer vs. Percona Server for MongoDB vs. RocksDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsUltra-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.Fully managed big data interactive analytics platformA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeDocument storeRelational DBMS infocolumn orientedDocument storeKey-value store
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitewww.ehcache.orgwww.harperdb.ioazure.microsoft.com/­services/­data-explorerwww.percona.com/­mongodb/­software/­percona-server-for-mongodbrocksdb.org
Technical documentationwww.ehcache.org/­documentationdocs.harperdb.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.percona.com/­percona-distribution-for-mongodbgithub.com/­facebook/­rocksdb/­wiki
DeveloperTerracotta Inc, owned by Software AGHarperDBMicrosoftPerconaFacebook, Inc.
Initial release20092017201920152013
Current release3.10.0, March 20223.1, August 2021cloud service with continuous releases3.4.10-2.10, November 20179.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree community edition availablecommercialOpen Source infoGPL Version 2Open Source infoBSD
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 languageJavaNode.jsC++C++
Server operating systemsAll OS with a Java VMLinux
OS X
hostedLinuxLinux
Data schemeschema-freedynamic schemaFixed schema with schema-less datatypes (dynamic)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesno
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.nonoyesnono
Secondary indexesnoyesall fields are automatically indexedyesno
SQL infoSupport of SQLnoSQL-like data manipulation statementsKusto Query Language (KQL), SQL subsetnono
APIs and other access methodsJCacheJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
proprietary protocol using JSONC++ API
Java API
Supported programming languagesJava.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
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1Yes, possible languages: KQL, Python, RJavaScriptno
Triggersyes infoCache Event Listenersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes infothe nodes on which a table resides can be definedyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceAtomic execution of specific operationsnonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infovia In-Memory Engineyes
User concepts infoAccess controlnoAccess rights for users and rolesAzure Active Directory AuthenticationAccess rights for users and rolesno

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EhcacheHarperDBMicrosoft Azure Data ExplorerPercona Server for MongoDBRocksDB
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