Related Products
|
||||||
About
Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites. Solr enables powerful matching capabilities including phrases, wildcards, joins, grouping and much more across any data type. Solr is proven at extremely large scales the world over. Solr uses the tools you use to make application building a snap. Solr ships with a built-in, responsive administrative user interface to make it easy to control your Solr instances. Need more insight into your instances? Solr publishes loads of metric data via JMX. Built on the battle-tested Apache Zookeeper, Solr makes it easy to scale up and down. Solr bakes in replication, distribution, rebalancing and fault tolerance out of the box.
|
About
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).
|
About
Use Azure Table storage to store petabytes of semi-structured data and keep costs down. Unlike many data stores—on-premises or cloud-based—Table storage lets you scale up without having to manually shard your dataset. Availability also isn’t a concern: using geo-redundant storage, stored data is replicated three times within a region—and an additional three times in another region, hundreds of miles away. Table storage is excellent for flexible datasets—web app user data, address books, device information, and other metadata—and lets you build cloud applications without locking down the data model to particular schemas. Because different rows in the same table can have a different structure—for example, order information in one row, and customer information in another—you can evolve your application and table schema without taking it offline. Table storage embraces a strong consistency model.
|
||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
||||
Audience
Enterprise Search software for companies
|
Audience
Companies in need of a big data solution
|
Audience
IT teams seeking a NoSQL key-value store for rapid development using massive semi-structured datasets
|
||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
||||
API
Offers API
|
API
Offers API
|
API
Offers API
|
||||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
||||
Reviews/
|
Reviews/
|
Reviews/
|
||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
||||
Company InformationApache Software Foundation
Founded: 1999
United States
lucene.apache.org/solr/
|
Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/databricks/
|
Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/storage/tables/#features
|
||||
Alternatives |
Alternatives |
Alternatives |
||||
|
|
|
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
Categories |
||||
Enterprise Search Features
AI / Machine Learning
eDiscovery
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
|
||||||
Integrations
AllegroGraph
Apache Ranger
Azure Confidential Computing
Bobsled
Captain Compliance
DQOps
Dagster
HStreamDB
Hue
Indent
|
Integrations
AllegroGraph
Apache Ranger
Azure Confidential Computing
Bobsled
Captain Compliance
DQOps
Dagster
HStreamDB
Hue
Indent
|
Integrations
AllegroGraph
Apache Ranger
Azure Confidential Computing
Bobsled
Captain Compliance
DQOps
Dagster
HStreamDB
Hue
Indent
|
||||
|
|
|
|