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DBMS > CrateDB vs. HBase vs. NCache vs. Transwarp ArgoDB

System Properties Comparison CrateDB vs. HBase vs. NCache vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonHBase  Xexclude from comparisonNCache  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionDistributed Database based on LuceneWide-column store based on Apache Hadoop and on concepts of BigTableOpen-Source and Enterprise in-memory Key-Value StoreDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Wide column storeKey-value storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Search engine infoUsing distributed Lucene
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitecratedb.comhbase.apache.orgwww.alachisoft.com/­ncachewww.transwarp.cn/­en/­product/­argodb
Technical documentationcratedb.com/­docshbase.apache.org/­book.htmlwww.alachisoft.com/­resources/­docsdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperCrateApache Software Foundation infoApache top-level project, originally developed by PowersetAlachisoftTranswarp
Initial release201320082005
Current release2.3.4, January 20215.3.3, April 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoApache version 2Open Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#, .NET, .NET Core, Java
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Unix
Windows infousing Cygwin
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROpartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes infoCoprocessors in Javano infosupport for stored procedures with SQL-Server CLR
Triggersnoyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replication
Source-replica replication
yes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategySingle row ACID (across millions of columns)optimistic 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.noyesyes
User concepts infoAccess controlrights management via user accountsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
CrateDBHBaseNCacheTranswarp ArgoDB
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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CrateDBHBaseNCacheTranswarp ArgoDB
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