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DBMS > Hive vs. LokiJS vs. Manticore Search vs. YugabyteDB

System Properties Comparison Hive vs. LokiJS vs. Manticore Search vs. YugabyteDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLokiJS  Xexclude from comparisonManticore Search  Xexclude from comparisonYugabyteDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopIn-memory JavaScript DBMSMulti-storage database for search, including full-text search.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSDocument storeSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitehive.apache.orggithub.com/­techfort/­LokiJSmanticoresearch.comwww.yugabyte.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Hometechfort.github.io/­LokiJSmanual.manticoresearch.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software Foundation infoinitially developed by FacebookManticore SoftwareYugabyte Inc.
Initial release2012201420172017
Current release3.1.3, April 20226.0, February 20232.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaJavaScriptC++C and C++
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
macOS
Windows
Linux
OS X
Data schemeyesschema-freeFixed schemadepending on used data model
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noCan index from XMLno
Secondary indexesyesyes infovia viewsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
Thrift
JavaScript APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC++
Java
PHP
Python
JavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptuser defined functionsyes infosql, plpgsql, C
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSynchronous replication based on Galera libraryBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single collection possibleyes infoisolated transactions for atomic changes and binary logging for safe writesDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoThe original contents of fields are not stored in the Manticore index.yes infobased on RocksDB
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 rolesnonoyes
More information provided by the system vendor
HiveLokiJSManticore SearchYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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HiveLokiJSManticore SearchYugabyteDB
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