DBMS > BoltDB vs. Hazelcast vs. Microsoft Azure Search

System Properties Comparison BoltDB vs. Hazelcast vs. Microsoft Azure Search

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Name	BoltDB  Xexclude from comparison	Hazelcast  Xexclude from comparison	Microsoft Azure Search  Xexclude from comparison
Description	An embedded key-value store for Go.	A widely adopted in-memory data grid	Search-as-a-service for web and mobile app development
Primary database model	Key-value store	Key-value store	Search engine
Secondary database models		Document store JSON support with IMDG 3.12
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.55 Rank #231   Overall #34   Key-value stores	Score 10.38 Rank #48   Overall #6   Key-value stores	Score 7.61 Rank #58   Overall #6   Search engines
Website	github.com/­boltdb/­bolt	hazelcast.com	azure.microsoft.com/­en-us/­services/­search
Technical documentation		hazelcast.org/­imdg/­docs	docs.microsoft.com/­en-us/­azure/­search
Developer		Hazelcast	Microsoft
Initial release	2013	2008	2015
Current release		5.1, March 2022	V1
License Commercial or Open Source	Open Source MIT License	Open Source Apache Version 2; commercial licenses available	commercial
Cloud-based only Only available as a cloud service	no	no	yes
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Implementation language	Go	Java
Server operating systems	BSD Linux OS X Solaris Windows	All OS with a Java VM	hosted
Data scheme	schema-free	schema-free	yes
Typing predefined data types such as float or date	no	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	yes the object must implement a serialization strategy	no
Secondary indexes	no	yes	yes
SQL Support of SQL	no	SQL-like query language	no
APIs and other access methods		JCache JPA Memcached protocol RESTful HTTP API	RESTful HTTP API
Supported programming languages	Go	.Net C# C++ Clojure Go Java JavaScript (Node.js) Python Scala	.Net C#
Server-side scripts Stored procedures	no	yes Event Listeners, Executor Services	no
Triggers	no	yes Events	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	none	yes Replicated Map	yes Implicit feature of the cloud service
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	none	Immediate Consistency or Eventual Consistency selectable by user Raft Consensus Algorithm	Immediate Consistency
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	one or two-phase-commit; repeatable reads; read commited	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	no
User concepts Access control	no	Role-based access control	yes using Azure authentication
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	BoltDB	Hazelcast	Microsoft Azure Search
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