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DBMS > Hive vs. SingleStore vs. YDB

System Properties Comparison Hive vs. SingleStore vs. YDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonYDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitehive.apache.orgwww.singlestore.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.singlestore.comydb.tech/­en/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookSingleStore Inc.Yandex
Initial release201220132019
Current release3.1.3, April 20228.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++, Go
Server operating systemsAll OS with a Java VMLinux info64 bit version requiredLinux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infobut no triggers and foreign keysSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
Thrift
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++
Java
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication infostores two copies of each physical data partition on two separate nodesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesFine grained access control via users, groups and rolesAccess rights defined for Yandex Cloud users
More information provided by the system vendor
HiveSingleStore infoformer name was MemSQLYDB
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
HiveSingleStore infoformer name was MemSQLYDB
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