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DBMS > Apache Impala vs. BoltDB vs. Heroic vs. NCache vs. SQream DB

System Properties Comparison Apache Impala vs. BoltDB vs. Heroic vs. NCache vs. SQream DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonHeroic  Xexclude from comparisonNCache  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embedded key-value store for Go.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-Source and Enterprise in-memory Key-Value Storea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value storeTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteimpala.apache.orggithub.com/­boltdb/­boltgithub.com/­spotify/­heroicwww.alachisoft.com/­ncachesqream.com
Technical documentationimpala.apache.org/­impala-docs.htmlspotify.github.io/­heroicwww.alachisoft.com/­resources/­docsdocs.sqream.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSpotifyAlachisoftSQream Technologies
Initial release20132013201420052017
Current release4.1.0, June 20225.3.3, April 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaC#, .NET, .NET Core, JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes, ANSI Standard SQL 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.nononono
Secondary indexesyesnoyes infovia Elasticsearchyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono infosupport for stored procedures with SQL-Server CLRuser defined functions in Python
Triggersnononoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyeshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyesyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnooptimistic locking and pessimistic lockingACID
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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
Apache ImpalaBoltDBHeroicNCacheSQream DB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» 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

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More resources
Apache ImpalaBoltDBHeroicNCacheSQream DB
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