DBMS > Apache Solr vs. Microsoft Azure Cosmos DB vs. Transwarp Hippo

System Properties Comparison Apache Solr vs. Microsoft Azure Cosmos DB vs. Transwarp Hippo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

A widely used distributed, scalable search engine based on Apache Lucene

Globally distributed, horizontally scalable, multi-model database service

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Search engine

Document store
Graph DBMS
Key-value store
Wide column store

Vector DBMS

Secondary database models

Spatial DBMS

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

Score	32.40
Rank	#24	Overall
	#3	Search engines

Score	22.55
Rank	#26	Overall
	#4	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#2	Wide column stores

Score	0.00
Rank	#382	Overall
	#21	Vector DBMS

Website

solr.apache.org

azure.microsoft.com/services/cosmos-db

www.transwarp.cn/en/subproduct/hippo

Technical documentation

solr.apache.org/resources.html

learn.microsoft.com/azure/cosmos-db

Developer

Apache Software Foundation

Microsoft

Initial release

2006

2014

2023

Current release

9.6.1, May 2024

1.0, May 2023

License

Commercial or Open Source

Open Source

Apache Version 2

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.

Implementation language

Java

C++

Server operating systems

All OS with a Java VM

runs as a servlet in servlet container (e.g. Tomcat, Jetty is included)

hosted

Linux
macOS

Data scheme

yes

Dynamic Fields enables on-the-fly addition of new fields

schema-free

Typing

predefined data types such as float or date

yes

supports customizable data types and automatic typing

yes

JSON types

Vector, Numeric and String

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.

yes

Secondary indexes

yes

All search fields are automatically indexed

yes

All properties auto-indexed by default

SQL

Support of SQL

Solr Parallel SQL Interface

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP/JSON API

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

RESTful HTTP API

Supported programming languages

.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

C++
Java
Python

Server-side scripts

Stored procedures

Java plugins

JavaScript

Triggers

yes

User configurable commands triggered on index changes

JavaScript

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

MapReduce

Offers an API for user-defined Map/Reduce methods

spark-solr: github.com/lucidworks/spark-solr and streaming expressions to reduce

with Hadoop integration

Integration with Hadoop/HDInsight on Azure*

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency

Consistency level configurable on request level
Session Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

optimistic locking

Multi-item ACID transactions with snapshot isolation within a partition

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

yes

Access rights can be defined down to the item level

Role based access control and fine grained access rights

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

Recent citations in the news

Migrate from Apache Solr to OpenSearch
18 July 2024, Amazon Web Services (AWS)

SOLR hand-delivers petition in support of dining workers after vote to authorize strike last week
7 March 2025, The Daily Northwestern

(SOLR) Long Term Investment Analysis
22 April 2025, news.stocktradersdaily.com

Flexible Searching with Solr and Sunspot
7 November 2024, SitePoint

Unveiling Mechanisms of Nano‐ and Picosecond Laser Scribing of Bilayer Molybdenum Thin Films on Flexible Polyimide for CuInxGa(1−x)Se2 Solar Photovoltaic Module Fabrication
3 April 2025, Wiley Online Library

provided by Google News

Microsoft Announces General Availability of Data API Builder for Azure Cosmos DB
6 July 2024, infoq.com

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, Microsoft Azure

How to use Azure Cosmos DB in .Net
10 July 2024, InfoWorld

Share.Market redefines the investment experience with Microsoft Azure
13 September 2024, Microsoft

Microsoft’s new DocumentDB rethinks NoSQL on PostgreSQL
30 January 2025, InfoWorld

provided by Google News

10 top vector database options for similarity searches
8 August 2024, TechTarget

provided by Google News

Share this page