KnowledgeENTERPRISE
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Agile ETL
- Self-Serve Analytics
- Extensible Nodes
- Predictive Analytics
- Graphical Data flow
- Accelerators
- Integration APIs
- Viz Tool Integration
- Big Data Integration
Pricing Info
Pricing Info
Details on SMB and enterprise pricing for Lavastorm Server are not publicly available. Interested buyers may contact a sales representative via an info box on the vendor’s official website to request for a customized quotation.
Integrations
Integrations
Lavastorm integrates with the following:
- Calimere Point Risk Advisory
- Climber
- Coney
- Kubrick Group
- Ntasys
- PWC
- Pomerol Partners
- Qlik
- Sweco
- Tableau
- Agilys
- Bilot
- CSG
- Cyfeon
- DataSpell
- GFT
- Hewlett Packard Enterprise
- MDS
- Mphasis
- Slalom
- Solve
- Solvie
- Sprint Milestone
- Tibco Spotfire
- TIQ Solutions
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Fair Point Communications, IDEXX Laboratories, Fiesta Restaurant Group, Inc.
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A data management and analysis platform that merges self-service data preparation with advanced analytics solutions.
Company Email
info@lavastorm.com
Contact No.
Company's Address
Lavastorm
745 Atlantic Avenue
Boston, MA 02111
USA
Lavastorm Server Comparisons
Popular Lavastorm Server Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Scalable, single, and fully-integrated enterprise application
- Visual analytics for large-scale distributed data sources
- Seamless integration with Spark
- In-memory execution on Spark
- Advanced modeling in Big Data frameworks via Spark
- Support for object stores, distributed file systems, network shares, and other enterprise data repositories
- (Amazon S3, HDFS, Hive, Network File Servers, FTP Servers, Hadoop Archives, etc.)
- Powerful Segmentation, Strategy Design and Visualization
- Access any type of distributed storage supported by Apache Spark
- Deploy and evaluate models in Big Data environments
- Deploy multiple projects in parallel
- Deploy on existing Hadoop clusters
- Automated scheduled scoring
Pricing Info
Contact Datawatch Angoss for more basic and enterprise pricing information KnowledgeENTERPRISE. You may also sign up for a demo to see if the software is a perfect fit for your business.
Integrations
KnowledgeENTERPRISE integrates with the following business systems and applications:
- Spark
- Hive
- Parquet
- ORC
- Avro
- Jupyter Notebook
- Hadoop
- Amazon S3
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
KnowledgeENTERPRISE is Angoss’ advanced analytics software on Spark framework that provides businesses with unprecedented analytics and data processing capabilities that overcome challenges in Big Data access and insight discovery.
Company Email
info@angoss.com
Contact No.
Company's Address
Angoss Software Corporation
330 Bay St Suite 200, Toronto
ON M5H 2S8
Canada
KnowledgeENTERPRISE Comparisons
Popular KnowledgeENTERPRISE Alternatives
In case you are still having doubts about which service will perform best for your business it may be a good idea to check out each service’s social metrics. Such metrics are frequently a way to see how popular every app is and how big is its online presence. For example Lavastorm Server Twitter profile has currently 1970 followers. At the same time KnowledgeENTERPRISE Twitter is followed by 2072 users.
Page last modified