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DBMS > Oracle NoSQL vs. Tarantool vs. YDB

System Properties Comparison Oracle NoSQL vs. Tarantool vs. YDB

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Editorial information provided by DB-Engines
NameOracle NoSQL  Xexclude from comparisonTarantool  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Key-value store
Relational DBMS
Document store
Key-value store
Relational DBMS
Document store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.07
Rank#86  Overall
#15  Document stores
#11  Key-value stores
#47  Relational DBMS
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Score0.39
Rank#269  Overall
#43  Document stores
#126  Relational DBMS
Websitewww.oracle.com/­database/­nosql/­technologies/­nosqlwww.tarantool.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.tarantool.io/­en/­docydb.tech/­en/­docs
DeveloperOracleVKYandex
Initial release201120082019
Current release24.1, May 20242.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen 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.
Implementation languageJavaC and C++
Server operating systemsLinux
Solaris SPARC/x86
BSD
Linux
macOS
Linux
Data schemeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.Flexible data schema: relational definition for tables with ability to store json-like documents in columnsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptionalstring, 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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsFull-featured ANSI SQL supportSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP APIOpen binary protocolRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoLua, C and SQL stored proceduresno
Triggersnoyes, 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.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
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
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataconfigurable infoACID within a storage node (=shard)ACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cacheyes, full featured in-memory storage engine with persistenceno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Access rights defined for Yandex Cloud users

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More resources
Oracle NoSQLTarantoolYDB
DB-Engines blog posts

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

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