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DBMS > Apache Hive vs. Firebase Realtime Database vs. Tarantool

System Properties Comparison Apache Hive vs. Firebase Realtime Database vs. Tarantool

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonTarantool  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.In-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSDocument storeDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score51.50
Rank#18  Overall
#12  Relational DBMS
Score13.43
Rank#39  Overall
#6  Document stores
Score1.50
Rank#143  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Websitehive.apache.orgfirebase.google.com/­products/­realtime-databasewww.tarantool.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homefirebase.google.com/­docs/­databasewww.tarantool.io/­en/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookGoogle infoacquired by Google 2014VK
Initial release201220122008
Current release3.1.3, April 20222.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemsAll OS with a Java VMhostedBSD
Linux
macOS
Data schemeyesschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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 statementsnoFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
Thrift
Android
iOS
JavaScript API
RESTful HTTP API
Open binary protocol
Supported programming languagesC++
Java
PHP
Python
Java
JavaScript
Objective-C
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducelimited functionality with using 'rules'Lua, C and SQL stored procedures
TriggersnoCallbacks are triggered when data changesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users, groups and rolesyes, based on authentication and database rulesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
Apache HiveFirebase Realtime DatabaseTarantool
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