Birst

Birst Reviews

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Ratings and Reviews
(1-16 of 16)

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Score 6 out of 10
Vetted Review
Verified User
Review Source
11
We have 2 teams that support our Birst development. One focusing on back end data engineering and building out live access spaces to support well established dashboards and ensuring that the most current data is always available in Birst. Another team focuses on prototyping and ad hoc support, as well as designing the most efficient user interfaces for analysis. This team typically imports data into the Birst platform for ease of development, and when the features are finalized, if there is value in developing a data mart and corresponding live access space, we partner with the back end team to do so.
John Laws | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
4
In-house the Apex BI staff includes:
- Sr Data Architect: Responsible for data warehouse design, ETL processing, space scripting and growth of Birst connectivity to new internal and external data sources.
- BI Developer (2): Responsible for dashboard and report management/development, request tracking and prioritization and space management.
- DevOps (1): Managing Birst appliance upgrades (both OS and Birst upgrades), alert monitors and all aspects of Birst appliances on three continents.
October 01, 2015

Birsting with BI Success

Deborah Stillwell Judy | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
2
2 People - One 90% Administration and Designer, one 5% occasional Designer and backup Administrator

Support of the Birst infrastructure is random, once established it is pretty stable.
Support of the Design deliverables is dependent upon your company objectives for BI.
Support of any technical cases requires ability to clarify issue, offer hypothesis based on what has been tried, specifics about where failure occurred.

I believe it is more important to have the knowledge of business objectives and root data. Aptitude for self discovery, and continuous presentation of the "Five Why's" until the root cause is reached. The BQL used to define custom advanced expressions is very logical, so if you can understand the structure of the expression, you will do okay.
Score 3 out of 10
Vetted Review
Verified User
Review Source
50
We use BIRST as SaaS so in-house we do not support the platform/technology but the applications built on top of it.
The support team we have is basically granting access to users, and supporting the different applications including: monitor the execution of ETLs, building new reports/dashbords, troubleshooting issues...
Brett Mooberry | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
1
I'm the Birst guy. I take care of the back end stuff, build/modify the data model, create reports, build dashboards, make sure it has plenty of food and water, etc.

Only having one person to do all of this is probably wouldn't work for larger companies with a bunch of different databases, but it works great for a smaller company like ours with only one database that we have tying into Birst.
Score 9 out of 10
Vetted Review
Verified User
Review Source
2
We are currently implementing our first sprint that will go live over the weekend. We have had 5 Pulse people involved in the implementation, but the long term plan is to have 2 people supporting Birst from IT. We will have Super Users from the different functional areas, but that total number has not been defined.
Score 9 out of 10
Vetted Review
Verified User
Review Source
5
Engineers and Client Solutions specialists. With a strong understanding of traditional data modeling and stewardship as well as the uses and methods of big data analysis, our core team of Analytics Engineers create and publish interactive analyses utilizing Birst. A good understanding of traditional ETL, BI and visualization design are critical to success of the team.

Birst Scorecard Summary

Feature Scorecard Summary

BI Standard Reporting (3)
74%
7.4
Pixel Perfect reports (69)
70%
7.0
Customizable dashboards (78)
80%
8.0
Report Formatting Templates (60)
71%
7.1
Ad-hoc Reporting (4)
70%
7.0
Drill-down analysis (79)
80%
8.0
Formatting capabilities (78)
70%
7.0
Integration with R or other statistical packages (28)
61%
6.1
Report sharing and collaboration (69)
70%
7.0
Report Output and Scheduling (4)
81%
8.1
Publish to Web (53)
80%
8.0
Publish to PDF (68)
80%
8.0
Report Versioning (9)
74%
7.4
Report Delivery Scheduling (67)
90%
9.0
Data Discovery and Visualization (3)
69%
6.9
Pre-built visualization formats (heatmaps, scatter plots etc.) (73)
80%
8.0
Location Analytics / Geographic Visualization (59)
70%
7.0
Predictive Analytics (34)
58%
5.8
Access Control and Security (3)
83%
8.3
Multi-User Support (named login) (71)
90%
9.0
Role-Based Security Model (69)
80%
8.0
Multiple Access Permission Levels (Create, Read, Delete) (70)
80%
8.0
Mobile Capabilities (4)
51%
5.1
Responsive Design for Web Access (53)
70%
7.0
Dedicated iOS Application (35)
30%
3.0
Dedicated Android Application (24)
72%
7.2
Dashboard / Report / Visualization Interactivity on Mobile (43)
30%
3.0

What is Birst?

Birst Networked BI is a BI product that promises to enable a single view of data and eliminate data silos. Additionally, decentralized teams and individual users can augment this shared analytic fabric with their own local data, without compromising data governance. This consistency comes from a unified semantic layer, which maintains common definitions and key metrics, no matter where users sit.

Birst achieves Networked BI through a 2-tier architecture that aligns back-end enterprise data with line-of-business or local, edge data. Birst’s Automated Data Refinement extracts data from any source (data stores, applications, warehouses, big data, and unstructured external sources) into a unified semantic layer. The result is a consistent view that enables users with self-service analytics through dashboards, reporting, visual discovery, mobile tools, and predictive analytics. Birst Open Client Interface also offers integration with Tableau, Excel and R.

Birst goes to market in two primary ways:

  • Direct, for enterprises using Birst for analytics on internal data to drive improved business outcomes
  • Embedded, for all size companies who offer data (analytics) products, by embedding and white-labeling Birst capabilities into their products

Birst’s product is packaged in 3 available formats:

  • Platform and per-user fee
  • By Department or Business Unit
  • By end-customer (for embedded scenarios)

Birst Features

BI Platform Features

  • Supported: Administration via Windows App
  • Supported: Administration via MacOS App
  • Supported: Administration via Web Interface
  • Supported: Live Connection to External Data
  • Supported: Snapshot of External Data
  • Supported: In-memory data model
  • Supported: OLAP (Pre-processed cube representation)
  • Supported: ROLAP (SQL-layer querying)
  • Supported: Multi-Data Source Reporting (Blending)
  • Supported: Data warehouse / dictionary layer
  • Supported: ETL Capability
  • Supported: ETL Scheduler

Supported Data Sources Features

  • Supported: MS Excel Workbooks
  • Supported: Text Files (CSV, etc)
  • Supported: Oracle
  • Supported: MS SQL Server
  • Supported: IBM DB2
  • Supported: Postgres
  • Supported: MySQL
  • Supported: ODBC
  • Supported: Cloudera Hadoop
  • Supported: Hortonworks Hadoop
  • Supported: EMC Greenplum
  • Supported: IBM Netezza
  • Supported: HP Vertica
  • Supported: ParAccel
  • Supported: SAP Hana
  • Supported: Teradata
  • Supported: Salesforce
  • Supported: SAP
  • Supported: Google Analytics

BI Standard Reporting Features

  • Supported: Pixel Perfect reports
  • Supported: Customizable dashboards
  • Supported: Report Formatting Templates

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Predictive modeling
  • Supported: Integration with R or other statistical packages
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data
  • Supported: Report Delivery Scheduling

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Supported: Location Analytics / Geographic Visualization
  • Supported: Predictive Analytics
  • Supported: Support for Machine Learning models
  • Supported: Integration with R or other statistical packages

Access Control and Security Features

  • Supported: Multi-User Support (named login)
  • Supported: Role-Based Security Model
  • Supported: Multiple Access Permission Levels (Create, Read, Delete)
  • Supported: Report-Level Access Control
  • Supported: Table-Level Access Control (BI-layer)
  • Supported: Field-Level Access Control (BI-layer)

Mobile Capabilities Features

  • Supported: Responsive Design for Web Access
  • Supported: Dedicated iOS Application
  • Supported: Dedicated Android Application
  • Supported: Dashboard / Report / Visualization Interactivity on Mobile

Birst Screenshots

Birst Videos

Birst Downloadables

Birst Competitors

Birst Pricing

More Pricing Information

On-premise Editions Pricing
Pricing DetailsTerms
Basic License$30,000Per 20 Users Per Year

Birst Technical Details

Deployment TypesOn-premise, SaaS
Operating SystemsWindows, Mac
Mobile ApplicationApple iOS, Android, Mobile Web
Supported CountriesAll
Supported LanguagesArabic, English, Dutch, French, German, Japanese, Korean, Portuguese (Brazil), Simplified Chinese, Spanish

Frequently Asked Questions

What is Birst?

Birst offers multi-tenant cloud BI for deployment in a public or private cloud, or on-premises. It provides an in-memory columnar data store and a BI layer comprising a reporting engine, predictive analytics tools, mobile native apps, dashboards, discovery tools, and an open client interface.

What is Birst's best feature?

Reviewers rate Report Delivery Scheduling and Multi-User Support (named login) highest, with a score of 9.

Who uses Birst?

The most common users of Birst are from Mid-size Companies and the Computer Software industry.