DBMS > ArcadeDB vs. Machbase Neo vs. Microsoft Azure Synapse Analytics vs. Postgres-XL

System Properties Comparison ArcadeDB vs. Machbase Neo vs. Microsoft Azure Synapse Analytics vs. Postgres-XL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	ArcadeDB  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Postgres-XL  Xexclude from comparison
Description	Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten	TimeSeries DBMS for AIoT and BigData	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Document store Graph DBMS Key-value store Time Series DBMS in next version	Time Series DBMS	Relational DBMS	Relational DBMS
Secondary database models				Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.10 Rank #358   Overall #48   Document stores #38   Graph DBMS #52   Key-value stores #35   Time Series DBMS	Score 0.17 Rank #337   Overall #30   Time Series DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	arcadedb.com	machbase.com	azure.microsoft.com/­services/­synapse-analytics	www.postgres-xl.org
Technical documentation	docs.arcadedb.com	machbase.com/­dbms	docs.microsoft.com/­azure/­synapse-analytics	www.postgres-xl.org/­documentation
Developer	Arcade Data	Machbase	Microsoft
Initial release	2021	2013	2016	2014 since 2012, originally named StormDB
Current release	September 2021	V8.0, August 2023		10 R1, October 2018
License Commercial or Open Source	Open Source Apache Version 2.0	commercial free test version available	commercial	Open Source Mozilla public license
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C	C++	C
Server operating systems	All OS with a Java VM	Linux macOS Windows	hosted	Linux macOS
Data scheme	schema-free	yes	yes	yes
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	yes XML type, but no XML query functionality
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	SQL-like query language, no joins	SQL-like query language	yes	yes distributed, parallel query execution
APIs and other access methods	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC	ADO.NET JDBC ODBC	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	Java	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala	C# Java PHP	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures		no	Transact SQL	user defined functions
Triggers		no	no	yes
Partitioning methods Methods for storing different data on different nodes		Sharding	Sharding, horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	selectable replication factor	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes relationship in graphs	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	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 volatile and lookup table		no
User concepts Access control		simple password-based access control	yes	fine grained access rights according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	ArcadeDB	Machbase Neo Former name was Infiniflux	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Postgres-XL
Recent citations in the news			General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, azure.microsoft.com Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, azure.microsoft.com Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News

Share this page