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DBMS > Hive vs. NCache vs. QuestDB vs. SQream DB

System Properties Comparison Hive vs. NCache vs. QuestDB vs. SQream DB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonNCache  Xexclude from comparisonQuestDB  Xexclude from comparisonSQream DB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-Source and Enterprise in-memory Key-Value StoreA high performance open source SQL database for time series dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitehive.apache.orgwww.alachisoft.com/­ncachequestdb.iosqream.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.alachisoft.com/­resources/­docsquestdb.io/­docsdocs.sqream.com
DeveloperApache Software Foundation infoinitially developed by FacebookAlachisoftQuestDB Technology IncSQream Technologies
Initial release2012200520142017
Current release3.1.3, April 20225.3.3, April 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoEnterprise Edition availableOpen Source infoApache 2.0commercial
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, JavaJava (Zero-GC), C++, RustC++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS
Windows
Linux
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes, 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.nono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL with time-series extensionsyes
APIs and other access methodsJDBC
ODBC
Thrift
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.Net
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno infosupport for stored procedures with SQL-Server CLRnouser defined functions in Python
Triggersnoyes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioning (by timestamps)horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with selectable consistency levelSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACID for single-table writesACID
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.yesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and rolesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
HiveNCacheQuestDBSQream DB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» 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
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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