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DBMS > Hive vs. InfluxDB vs. OmniSci vs. YugabyteDB

System Properties Comparison Hive vs. InfluxDB vs. OmniSci vs. YugabyteDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInfluxDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonYugabyteDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDBMS for storing time series, events and metricsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.19
Rank#14  Overall
#9  Relational DBMS
Score27.17
Rank#29  Overall
#1  Time Series DBMS
Score1.24
Rank#151  Overall
#72  Relational DBMS
Score0.95
Rank#177  Overall
#89  Relational DBMS
Websitehive.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.omnisci.comwww.yugabyte.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.influxdata.com/­influxdbdocs.omnisci.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software Foundation infoinitially developed by FacebookMapD Technologies, Inc.Yugabyte Inc.
Initial release2012201320162017
Current release3.1.2, August 20192.0.2, November 20205.5, January 20212.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++ and CUDAC and C++
Server operating systemsAll OS with a Java VMLinux
OS X infothrough Homebrew
LinuxLinux
OS X
Data schemeyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
JSON over UDP
JDBC
ODBC
Thrift
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC++
Java
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes infosql, plpgsql, C
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding infoRound robinHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyMulti-source replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesno
User concepts infoAccess controlAccess rights for users, groups and rolessimple rights management via user accountsfine grained access rights according to SQL-standardyes
More information provided by the system vendor
HiveInfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018YugabyteDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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HiveInfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018YugabyteDB
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