DBMS > BigObject vs. Machbase Neo vs. Microsoft Azure AI Search vs. Microsoft Azure Table Storage

System Properties Comparison BigObject vs. Machbase Neo vs. Microsoft Azure AI Search vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
Name	BigObject  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison
Description	Analytic DBMS for real-time computations and queries	TimeSeries DBMS for AIoT and BigData	Search-as-a-service for web and mobile app development	A Wide Column Store for rapid development using massive semi-structured datasets
Primary database model	Relational DBMS a hierachical model (tree) can be imposed	Time Series DBMS	Search engine	Wide column store
Secondary database models			Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 0.17 Rank #337   Overall #30   Time Series DBMS	Score 5.52 Rank #59   Overall #6   Search engines	Score 4.04 Rank #77   Overall #6   Wide column stores
Website	bigobject.io	machbase.com	azure.microsoft.com/­en-us/­services/­search	azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentation	docs.bigobject.io	machbase.com/­dbms	learn.microsoft.com/­en-us/­azure/­search
Developer	BigObject, Inc.	Machbase	Microsoft	Microsoft
Initial release	2015	2013	2015	2012
Current release		V8.0, August 2023	V1
License Commercial or Open Source	commercial free community edition available	commercial free test version available	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C
Server operating systems	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Linux macOS Windows	hosted	hosted
Data scheme	yes	yes	yes	schema-free
Typing predefined data types such as float or date	yes	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	SQL-like DML and DDL statements	SQL-like query language	no	no
APIs and other access methods	fluentd ODBC RESTful HTTP API	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC	RESTful HTTP API	RESTful HTTP API
Supported programming languages		C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala	C# Java JavaScript Python	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	Lua	no	no	no
Triggers	no	no	no	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding	Sharding Implicit feature of the cloud service	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	none	selectable replication factor	yes Implicit feature of the cloud service	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	none		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes automatically between fact table and dimension tables	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	no	optimistic locking
Concurrency Support for concurrent manipulation of data	yes Read/write lock on objects (tables, trees)	yes	yes	yes
Durability Support for making data persistent	yes	no	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes volatile and lookup table	no	no
User concepts Access control	no	simple password-based access control	yes using Azure authentication	Access rights based on private key authentication or shared access signatures
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More resources
	BigObject	Machbase Neo Former name was Infiniflux	Microsoft Azure AI Search	Microsoft Azure Table Storage
Recent citations in the news			Announcing updates to Azure AI Search to help organizations build and scale generative AI applications 4 April 2024, Microsoft Microsoft and ServiceNow at Knowledge 2024: Introducing generative AI innovation 13 June 2024, Microsoft Azure OpenAI Service: Transforming legal practices with generative AI solutions 12 June 2024, Microsoft Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates 2 April 2024, Microsoft Raise the bar on AI-powered app development with Azure Database for PostgreSQL 5 June 2024, Microsoft provided by Google News	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

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