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DBMS > CockroachDB vs. Machbase Neo vs. Microsoft Azure Cosmos DB vs. Stardog vs. Tarantool

System Properties Comparison CockroachDB vs. Machbase Neo vs. Microsoft Azure Cosmos DB vs. Stardog vs. Tarantool

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonStardog  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.TimeSeries DBMS for AIoT and BigDataGlobally distributed, horizontally scalable, multi-model database serviceEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
RDF store
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitewww.cockroachlabs.commachbase.comazure.microsoft.com/­services/­cosmos-dbwww.stardog.comwww.tarantool.io
Technical documentationwww.cockroachlabs.com/­docsmachbase.com/­dbmslearn.microsoft.com/­azure/­cosmos-dbdocs.stardog.comwww.tarantool.io/­en/­doc
DeveloperCockroach LabsMachbaseMicrosoftStardog-UnionVK
Initial release20152013201420102008
Current release24.1.0, May 2024V8.0, August 20237.3.0, May 20202.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infofree test version availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCJavaC and C++
Server operating systemsLinux
macOS
Windows
Linux
macOS
Windows
hostedLinux
macOS
Windows
BSD
Linux
macOS
Data schemedynamic schemayesschema-freeschema-free and OWL/RDFS-schema supportFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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 infoImport/export of XML data possibleno
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLSQL-like query languageSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL ServerFull-featured ANSI SQL support
APIs and other access methodsJDBCgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Open binary protocol
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoJavaScriptuser defined functions and aggregates, HTTP Server extensions in JavaLua, C and SQL stored procedures
TriggersnonoJavaScriptyes infovia event handlersyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding infoImplicit feature of the cloud servicenoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factoryes infoImplicit feature of the cloud serviceMulti-source replication in HA-ClusterAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency in HA-ClusterCasual 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
Foreign keys infoReferential integrityyesnonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-item ACID transactions with snapshot isolation within a partitionACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesnoyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tableyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlRole-based access controlsimple password-based access controlAccess rights can be defined down to the item levelAccess 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

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More resources
CockroachDBMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBStardogTarantool
DB-Engines blog posts

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

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