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DBMS > Apache Druid vs. NCache vs. SwayDB vs. Teradata

System Properties Comparison Apache Druid vs. NCache vs. SwayDB vs. Teradata

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonNCache  Xexclude from comparisonSwayDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen-Source and Enterprise in-memory Key-Value StoreAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitedruid.apache.orgwww.alachisoft.com/­ncacheswaydb.simer.auwww.teradata.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.alachisoft.com/­resources/­docsdocs.teradata.com
DeveloperApache Software Foundation and contributorsAlachisoftSimer PlahaTeradata
Initial release2012200520181984
Current release29.0.1, April 20245.3.3, April 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoEnterprise Edition availableOpen Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, JavaScala
Server operating systemsLinux
OS X
Unix
Linux
Windows
hosted
Linux
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counternoyes
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.nononoyes
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL for queryingSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.noyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
IDistributedCache
JCache
LINQ
Proprietary native API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Java
Kotlin
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infoNotificationsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, with selectable consistency levelnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingAtomic execution of operationsACID
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.noyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)nofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidNCacheSwayDBTeradata
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 DruidNCacheSwayDBTeradata
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