DBMS > HEAVY.AI vs. NCache vs. OpenSearch vs. Rockset

System Properties Comparison HEAVY.AI vs. NCache vs. OpenSearch vs. Rockset

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Editorial information provided by DB-Engines

Name

Description

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

Open-Source and Enterprise in-memory Key-Value Store

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

A scalable, reliable search and analytics service in the cloud, built on RocksDB

Primary database model

Secondary database models

Spatial DBMS

Document store
Search engine

Using distributed Lucene

Vector DBMS

Relational DBMS
Search engine

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.77
Rank	#141	Overall
	#65	Relational DBMS

Score	0.94
Rank	#195	Overall
	#29	Key-value stores

Score	16.36
Rank	#37	Overall
	#4	Search engines

Score	0.79
Rank	#211	Overall
	#35	Document stores

Website

github.com/heavyai/heavydb
www.heavy.ai

www.alachisoft.com/ncache

github.com/opensearch-project
opensearch.org

rockset.com

Technical documentation

docs.heavy.ai

www.alachisoft.com/resources/docs

opensearch.org/docs/latest

docs.rockset.com

Developer

HEAVY.AI, Inc.

Alachisoft

Amazon Web Services

Rockset

Initial release

2016

2005

2021

2019

Current release

5.10, January 2022

5.3.3, April 2024

2.5.0, January 2023

License

Commercial or Open Source

Open Source

Apache Version 2; enterprise edition available

Open Source

Enterprise Edition available

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.

Implementation language

C++ and CUDA

C#, .NET, .NET Core, Java

Java

C++

Server operating systems

Linux

Linux
Windows

All OS with a Java VM

hosted

Data scheme

yes

schema-free

Flexible type definitions. Once a type is defined, it is persistent

schema-free

Typing

predefined data types such as float or date

yes

partial

Supported data types are Lists, Queues, Hashsets, Dictionary and Counter

yes

dynamic typing

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.

ingestion from XML files supported

Secondary indexes

yes

All search fields are automatically indexed

all fields are automatically indexed

SQL

Support of SQL

yes

SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.

SQL-like query language

Read-only SQL queries, including JOINs

APIs and other access methods

JDBC
ODBC
Thrift
Vega

IDistributedCache
JCache
LINQ
Proprietary native API

Java API
RESTful HTTP/JSON API

HTTP REST

Supported programming languages

All languages supporting JDBC/ODBC/Thrift
Python

.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

support for stored procedures with SQL-Server CLR

yes

Triggers

yes

Notifications

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

Sharding

Round robin

yes

Sharding

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes, with selectable consistency level

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

optimistic locking and pessimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)

Access rights for users and organizations can be defined via Rockset console

More information provided by the system vendor

Specific characteristics

NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more

OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more

Competitive advantages

NCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more

Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more

Typical application scenarios

NCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more

The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more

Key customers

Bank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more

Market metrics

Market Leader in .NET Distributed Caching since 2005.
» more

Licensing and pricing models

NCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

The OpenSearch Project offers open source software licensed under Apache License...
» more

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