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DBMS > Hazelcast vs. Heroic vs. NCache vs. Percona Server for MongoDB vs. Vertica

System Properties Comparison Hazelcast vs. Heroic vs. NCache vs. Percona Server for MongoDB vs. Vertica

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHeroic  Xexclude from comparisonNCache  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-Source and Enterprise in-memory Key-Value StoreA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelKey-value storeTime Series DBMSKey-value storeDocument storeRelational DBMS infoColumn oriented
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Search engine infoUsing distributed Lucene
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitehazelcast.comgithub.com/­spotify/­heroicwww.alachisoft.com/­ncachewww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.vertica.com
Technical documentationhazelcast.org/­imdg/­docsspotify.github.io/­heroicwww.alachisoft.com/­resources/­docsdocs.percona.com/­percona-distribution-for-mongodbvertica.com/­documentation
DeveloperHazelcastSpotifyAlachisoftPerconaOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20082014200520152005
Current release5.3.6, November 20235.3.3, April 20243.4.10-2.10, November 201712.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoEnterprise Edition availableOpen Source infoGPL Version 2commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#, .NET, .NET Core, JavaC++C++
Server operating systemsAll OS with a Java VMLinux
Windows
LinuxLinux
Data schemeschema-freeschema-freeschema-freeschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
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.yes infothe object must implement a serialization strategynononono
Secondary indexesyesyes infovia ElasticsearchyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-like query languagenoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.noFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
proprietary protocol using JSONADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
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
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnono infosupport for stored procedures with SQL-Server CLRJavaScriptyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infoEventsnoyes infoNotificationsnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyesyes, with selectable consistency levelSource-replica replicationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyesno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednooptimistic locking and pessimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infovia In-Memory Engineno
User concepts infoAccess controlRole-based access controlAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
HazelcastHeroicNCachePercona Server for MongoDBVertica infoOpenText™ Vertica™
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
HazelcastHeroicNCachePercona Server for MongoDBVertica infoOpenText™ Vertica™
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