Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilize widely-used open-source frameworks like Apache Hadoop, Spark, Hive, and Kafka with Azure HDInsight, a customizable and enterprise-level service designed for open-source analytics. Effortlessly manage vast data sets while leveraging the extensive open-source project ecosystem alongside Azure’s global capabilities. Transitioning your big data workloads to the cloud is straightforward and efficient. You can swiftly deploy open-source projects and clusters without the hassle of hardware installation or infrastructure management. The big data clusters are designed to minimize expenses through features like autoscaling and pricing tiers that let you pay solely for your actual usage. With industry-leading security and compliance validated by over 30 certifications, your data is well protected. Additionally, Azure HDInsight ensures you remain current with the optimized components tailored for technologies such as Hadoop and Spark, providing an efficient and reliable solution for your analytics needs. This service not only streamlines processes but also enhances collaboration across teams.
Description
One platform with a diverse range of solutions, INDICA seamlessly integrates with all company applications and data sources. It effectively indexes real-time data, providing a comprehensive view of your entire data environment. Built on this robust platform, INDICA presents four distinct solutions. The INDICA Enterprise Search feature grants access to all corporate data sources via a single interface, indexing both structured and unstructured data while prioritizing results based on relevance. Meanwhile, INDICA eDiscovery can be tailored for individual cases or structured to facilitate swift fraud or compliance investigations. The INDICA Privacy Suite equips organizations with a comprehensive set of tools to ensure adherence to GDPR and CCPA regulations, maintaining ongoing compliance. Additionally, INDICA Data Lifecycle Management empowers you to oversee your corporate data, enabling efficient tracking, cleaning, or migration. Overall, INDICA’s data platform is designed with a wide array of features, ensuring you can effectively manage and control your data landscape while adapting to evolving business needs. This flexibility allows organizations to respond proactively to data challenges and opportunities.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache HBase
Yes
Apache Spark
Yes
Apache Storm
Yes
Azure Data Lake
Yes
Azure Data Lake Storage
Yes
Azure Database for MariaDB
Yes
Azure Marketplace
Yes
GoProfiles
Yes
Hadoop
Yes
Microsoft Azure
Yes
Integrations
Apache HBase
No
Apache Spark
No
Apache Storm
No
Azure Data Lake
No
Azure Data Lake Storage
No
Azure Database for MariaDB
No
Azure Marketplace
No
GoProfiles
No
Hadoop
No
Microsoft Azure
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/hdinsight/
Vendor Details
Company Name
INDICA
Country
Netherlands
Website
indica.nl
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Product Features
Big Data
Collaboration
Yes
Data Blends
Yes
Data Cleansing
Yes
Data Mining
Yes
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
No
Templates
Yes