DBMS > InfinityDB vs. Microsoft Azure Table Storage vs. Transbase vs. Typesense

System Properties Comparison InfinityDB vs. Microsoft Azure Table Storage vs. Transbase vs. Typesense

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Editorial information provided by DB-Engines
Name	InfinityDB  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Transbase  Xexclude from comparison	Typesense  Xexclude from comparison
Description	A Java embedded Key-Value Store which extends the Java Map interface	A Wide Column Store for rapid development using massive semi-structured datasets	A resource-optimized, high-performance, universally applicable RDBMS	A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database model	Key-value store	Wide column store	Relational DBMS	Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.17 Rank #334   Overall #148   Relational DBMS	Score 0.76 Rank #219   Overall #14   Search engines
Website	boilerbay.com	azure.microsoft.com/­en-us/­services/­storage/­tables	www.transaction.de/­en/­products/­transbase.html	typesense.org
Technical documentation	boilerbay.com/­infinitydb/­manual		www.transaction.de/­en/­products/­transbase/­features.html	typesense.org/­docs
Developer	Boiler Bay Inc.	Microsoft	Transaction Software GmbH
Initial release	2002	2012	1987	2015
Current release	4.0		Transbase 8.3, 2022
License Commercial or Open Source	commercial	commercial	commercial free development license	Open Source GPL V3
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java		C and C++	C++
Server operating systems	All OS with a Java VM	hosted	FreeBSD Linux macOS Solaris Windows	Linux
Data scheme	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	schema-free	yes	schema-free pre-defined schema optional
Typing predefined data types such as float or date	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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
Secondary indexes	no manual creation possible, using inversions based on multi-value capability	no	yes	yes
SQL Support of SQL	no	no	yes	no
APIs and other access methods	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	RESTful HTTP API	ADO.NET JDBC ODBC Proprietary native API	RESTful HTTP API
Supported programming languages	Java	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	C C# C++ Java JavaScript Kotlin Objective-C PHP Python	.Net community maintained Clojure community maintained Dart community maintained Go community maintained Java community maintained JavaScript Perl community maintained PHP Python Ruby Rust community maintained Swift community maintained
Server-side scripts Stored procedures	no	no	yes	no
Triggers	no	no	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding Implicit feature of the cloud service
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	Multi-source replication using RAFT
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 READ-COMMITTED or SERIALIZED	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no manual creation possible, using inversions based on multi-value capability	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID Optimistic locking for transactions; no isolation for bulk loads	optimistic locking	yes	no
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	Access rights based on private key authentication or shared access signatures	fine grained access rights according to SQL-standard
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More resources
	InfinityDB	Microsoft Azure Table Storage	Transbase	Typesense
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