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DBMS > Hive vs. SiteWhere vs. Tarantool vs. Tibero

System Properties Comparison Hive vs. SiteWhere vs. Tarantool vs. Tibero

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonSiteWhere  Xexclude from comparisonTarantool  Xexclude from comparisonTibero  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopM2M integration platform for persisting/querying time series dataIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitehive.apache.orggithub.com/­sitewhere/­sitewherewww.tarantool.ious.tmaxsoft.com/­products/­tibero
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homesitewhere1.sitewhere.io/­index.htmlwww.tarantool.io/­en/­doctechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation infoinitially developed by FacebookSiteWhereVKTmaxSoft
Initial release2012201020082003
Current release3.1.3, April 20222.10.0, May 20226, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoCommon Public Attribution License Version 1.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C and Assembler
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
BSD
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyespredefined schemeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoFull-featured ANSI SQL supportyes
APIs and other access methodsJDBC
ODBC
Thrift
HTTP RESTOpen binary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLua, C and SQL stored proceduresPersistent Stored Procedure (PSM)
Triggersnoyes, before/after data modification events, on replication events, client session eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.horizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBaseAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyCasual 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
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistenceno infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and rolesUsers with fine-grained authorization conceptAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
fine grained access rights according to SQL-standard (SQL 92, SQL 99)

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HiveSiteWhereTarantoolTibero
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