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DBMS > HEAVY.AI vs. Tarantool vs. Tibero vs. Transwarp Hippo

System Properties Comparison HEAVY.AI vs. Tarantool vs. Tibero vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTarantool  Xexclude from comparisonTibero  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA secure RDBMS, designed for easy portability from OracleCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Relational DBMSVector DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Score1.46
Rank#151  Overall
#70  Relational DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.tarantool.ious.tmaxsoft.com/­products/­tiberowww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.heavy.aiwww.tarantool.io/­en/­doctechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperHEAVY.AI, Inc.VKTmaxSoft
Initial release2016200820032023
Current release5.10, January 20222.10.0, May 20227, September 20221.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC and C++C and AssemblerC++
Server operating systemsLinuxBSD
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyesVector, Numeric and String
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.nonoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesFull-featured ANSI SQL supportyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Open binary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
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
C++
Java
Python
Server-side scripts infoStored proceduresnoLua, C and SQL stored proceduresPersistent Stored Procedure (PSM)no
Triggersnoyes, before/after data modification events, on replication events, client session eventsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding, 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 compositeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationAsynchronous 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyesyes
Durability infoSupport for making data persistentyesyes, write ahead loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistenceno infoplanned for next versionyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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)Role based access control and fine grained access rights

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022TarantoolTiberoTranswarp Hippo
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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