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DBMS > HEAVY.AI vs. Lovefield vs. Redis vs. TiDB vs. TypeDB

System Properties Comparison HEAVY.AI vs. Lovefield vs. Redis vs. TiDB vs. TypeDB

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonRedis  Xexclude from comparisonTiDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelRelational DBMSRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Secondary database modelsSpatial DBMSDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score149.43
Rank#6  Overall
#1  Key-value stores
Score4.09
Rank#72  Overall
#38  Relational DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldredis.com
redis.io
pingcap.comtypedb.com
Technical documentationdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.redis.com/­latest/­index.html
redis.io/­docs
docs.pingcap.com/­tidb/­stabletypedb.com/­docs
DeveloperHEAVY.AI, Inc.GoogleRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.PingCAP, Inc.Vaticle
Initial release20162014200920162016
Current release5.10, January 20222.1.12, February 20177.2.5, May 20248.2.0, July 20242.28.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC++ and CUDAJavaScriptCGo, RustJava
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.nonononono
Secondary indexesnoyesyes infowith RediSearch moduleyesyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternwith RediSQL moduleyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
proprietary protocol infoRESP - REdis Serialization ProtocolGORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonoLua; Redis Functions coming in Redis 7 (slides and Github)nono
TriggersnoUsing read-only observerspublish/subscribe channels provide some trigger functionality; RedisGearsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardinghorizontal partitioning (by key range)no
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Synchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonothrough RedisGearsyes infowith TiSpark Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infofull support since version 6.6no infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of command blocks and scripts and optimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
Fine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldRedisTiDBTypeDB infoformerly named Grakn
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldRedisTiDBTypeDB infoformerly named Grakn
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