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DBMS > ScyllaDB vs. TiDB vs. YDB

System Properties Comparison ScyllaDB vs. TiDB vs. YDB

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Editorial information provided by DB-Engines
NameScyllaDB  Xexclude from comparisonTiDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionCassandra and DynamoDB compatible wide column storeTiDB 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.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelWide column storeRelational DBMSDocument store
Relational DBMS
Secondary database modelsKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.27
Rank#67  Overall
#5  Wide column stores
Score4.94
Rank#72  Overall
#40  Relational DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitewww.scylladb.compingcap.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.scylladb.comdocs.pingcap.com/­tidb/­stableydb.tech/­en/­docs
DeveloperScyllaDBPingCAP, Inc.Yandex
Initial release201520162019
Current releaseScyllaDB Open Source 5.4.1, January 20247.6.0, January 2024
License infoCommercial or Open SourceOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaSTiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC++Go, Rust
Server operating systemsLinuxLinuxLinux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyes infocluster global secondary indicesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL)yesSQL-like query language (YQL)
APIs and other access methodsProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes, Luanono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by key range)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith TiSpark Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infofull support since version 6.6no
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoin-memory tablesnono
User concepts infoAccess controlAccess rights for users can be defined per objectFine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users
More information provided by the system vendor
ScyllaDBTiDBYDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
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Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
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Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
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TiDB is ideal for transactional applications that require extreme scalability and...
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Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
ScyllaDBTiDBYDB
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