DBMS > InfinityDB vs. Microsoft Azure Data Explorer vs. Sequoiadb vs. VelocityDB

System Properties Comparison InfinityDB vs. Microsoft Azure Data Explorer vs. Sequoiadb vs. VelocityDB

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Editorial information provided by DB-Engines
Name	InfinityDB  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Sequoiadb  Xexclude from comparison	VelocityDB  Xexclude from comparison
Description	A Java embedded Key-Value Store which extends the Java Map interface	Fully managed big data interactive analytics platform	NewSQL database with distributed OLTP and SQL	A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database model	Key-value store	Relational DBMS column oriented	Document store Relational DBMS	Graph DBMS Object oriented DBMS
Secondary database models		Document store If a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Search engine support for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS	Score 0.11 Rank #354   Overall #37   Graph DBMS #15   Object oriented DBMS
Website	boilerbay.com	azure.microsoft.com/­services/­data-explorer	www.sequoiadb.com	velocitydb.com
Technical documentation	boilerbay.com/­infinitydb/­manual	docs.microsoft.com/­en-us/­azure/­data-explorer	www.sequoiadb.com/­en/­index.php?m=Files&a=index	velocitydb.com/­UserGuide
Developer	Boiler Bay Inc.	Microsoft	Sequoiadb Ltd.	VelocityDB Inc
Initial release	2002	2019	2013	2011
Current release	4.0	cloud service with continuous releases		7.x
License Commercial or Open Source	commercial	commercial	Open Source Server: AGPL; Client: Apache V2	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no
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Implementation language	Java		C++	C#
Server operating systems	All OS with a Java VM	hosted	Linux	Any that supports .NET
Data scheme	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	Fixed schema with schema-less datatypes (dynamic)	schema-free	yes
Typing predefined data types such as float or date	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	yes oid, date, timestamp, binary, regex	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	yes	no	no
Secondary indexes	no manual creation possible, using inversions based on multi-value capability	all fields are automatically indexed	yes	yes
SQL Support of SQL	no	Kusto Query Language (KQL), SQL subset	SQL-like query language	no
APIs and other access methods	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	proprietary protocol using JSON	.Net
Supported programming languages	Java	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net C++ Java PHP Python	.Net
Server-side scripts Stored procedures	no	Yes, possible languages: KQL, Python, R	JavaScript	no
Triggers	no	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	none	Sharding Implicit feature of the cloud service	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	none	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency READ-COMMITTED or SERIALIZED	Eventual Consistency Immediate Consistency	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no manual creation possible, using inversions based on multi-value capability	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID Optimistic locking for transactions; no isolation for bulk loads	no	Document is locked during a transaction	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	no	yes
User concepts Access control	no	Azure Active Directory Authentication	simple password-based access control	Based on Windows Authentication
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More resources
	InfinityDB	Microsoft Azure Data Explorer	Sequoiadb	VelocityDB
Recent citations in the news		We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, azure.microsoft.com Update records in a Kusto Database (public preview) | Azure updates 20 February 2024, azure.microsoft.com Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 8 January 2024, azure.microsoft.com Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, azure.microsoft.com New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, azure.microsoft.com provided by Google News

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