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DBMS > Apache Impala vs. Bangdb vs. HyperSQL vs. NCache

System Properties Comparison Apache Impala vs. Bangdb vs. HyperSQL vs. NCache

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBangdb  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopConverged and high performance database for device data, events, time series, document and graphMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMSDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Websiteimpala.apache.orgbangdb.comhsqldb.orgwww.alachisoft.com/­ncache
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bangdb.comhsqldb.org/­web/­hsqlDocsFrame.htmlwww.alachisoft.com/­resources/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSachin Sinha, BangDBAlachisoft
Initial release2013201220012005
Current release4.1.0, June 2022BangDB 2.0, October 20212.7.2, June 20235.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD 3Open Source infobased on BSD licenseOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++JavaC#, .NET, .NET Core, Java
Server operating systemsLinuxLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL like support with command line toolyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
Python
All languages supporting JDBC/ODBC
Java
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJava, SQLno infosupport for stored procedures with SQL-Server CLR
Triggersnoyes, Notifications (with Streaming only)yesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor, Knob for CAP (enterprise version only)noneyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes (enterprise version only)fine grained access rights according to SQL-standardAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
Apache ImpalaBangdbHyperSQL infoalso known as HSQLDBNCache
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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Apache ImpalaBangdbHyperSQL infoalso known as HSQLDBNCache
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