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DBMS > Microsoft Azure Table Storage vs. Newts vs. OrigoDB vs. Tarantool

System Properties Comparison Microsoft Azure Table Storage vs. Newts vs. OrigoDB vs. Tarantool

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonNewts  Xexclude from comparisonOrigoDB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsTime Series DBMS based on CassandraA fully ACID in-memory object graph databaseIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelWide column storeTime Series DBMSDocument store
Object oriented DBMS
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.07
Rank#375  Overall
#41  Time Series 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
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesopennms.github.io/­newtsorigodb.comwww.tarantool.io
Technical documentationgithub.com/­OpenNMS/­newts/­wikiorigodb.com/­docswww.tarantool.io/­en/­doc
DeveloperMicrosoftOpenNMS GroupRobert Friberg et alVK
Initial release201220142009 infounder the name LiveDB2008
Current release2.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C and C++
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
BSD
Linux
macOS
Data schemeschema-freeschema-freeyesFlexible 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 indexesnonoyesyes
SQL infoSupport of SQLnononoFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP APIHTTP REST
Java API
.NET Client API
HTTP API
LINQ
Open binary protocol
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.NetC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoyesLua, C and SQL stored procedures
Triggersnonoyes infoDomain Eventsyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infobased on Cassandrahorizontal 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 nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on CassandraSource-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 systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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
Foreign keys infoReferential integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnoACIDACID, 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 controlAccess rights based on private key authentication or shared access signaturesnoRole 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
Microsoft Azure Table StorageNewtsOrigoDBTarantool
DB-Engines blog posts

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

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