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DBMS > Newts vs. openGauss vs. OrigoDB vs. Tarantool

System Properties Comparison Newts vs. openGauss vs. OrigoDB vs. Tarantool

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Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonopenGauss  Xexclude from comparisonOrigoDB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionTime Series DBMS based on CassandraAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA fully ACID in-memory object graph databaseIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Document store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websiteopennms.github.io/­newtsgitee.com/­opengauss
opengauss.org
origodb.comwww.tarantool.io
Technical documentationgithub.com/­OpenNMS/­newts/­wikidocs.opengauss.org/­en
gitee.com/­opengauss/­docs
origodb.com/­docswww.tarantool.io/­en/­doc
DeveloperOpenNMS GroupHuawei and openGauss communityRobert Friberg et alVK
Initial release201420192009 infounder the name LiveDB2008
Current release3.0, March 20222.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaC#C and C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
BSD
Linux
macOS
Data schemeschema-freeyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsstring, 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 infocan be achieved using .NETno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoANSI SQL 2011noFull-featured ANSI SQL support
APIs and other access methodsHTTP REST
Java API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Open binary protocol
Supported programming languagesJavaC
C++
Java
.NetC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesyesLua, C and SQL stored procedures
Triggersnoyesyes infoDomain Eventsyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning (by range, list and hash)horizontal partitioning infoclient side managed; servers are not synchronizedSharding, 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 nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationAsynchronous 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate 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
Foreign keys infoReferential integritynoyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardRole based authorizationAccess 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
NewtsopenGaussOrigoDBTarantool
DB-Engines blog posts

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

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