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DBMS > 4D vs. Apache Impala vs. LeanXcale vs. NCache

System Properties Comparison 4D vs. Apache Impala vs. LeanXcale vs. NCache

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Impala  Xexclude from comparisonLeanXcale  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAnalytic DBMS for HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument storeDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score0.98
Rank#196  Overall
#29  Key-value stores
Websitewww.4d.comimpala.apache.orgwww.leanxcale.comwww.alachisoft.com/­ncache
Technical documentationdeveloper.4d.comimpala.apache.org/­impala-docs.htmlwww.alachisoft.com/­resources/­docs
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by ClouderaLeanXcaleAlachisoft
Initial release1984201320152005
Current releasev20, April 20234.1.0, June 20225.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen 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#, .NET, .NET Core, Java
Server operating systemsOS X
Windows
LinuxLinux
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyespartial 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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsyes infothrough Apache DerbySQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBCC
Java
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceno infosupport for stored procedures with SQL-Server CLR
Triggersyesnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factoryes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
4D infoformer name: 4th DimensionApache ImpalaLeanXcaleNCache
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 ,...
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Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
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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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4D infoformer name: 4th DimensionApache ImpalaLeanXcaleNCache
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