If you want to roll your own solution using a single application to perform all of your ETL, reporting/dashboard, like to get deep in the weeds and have a lot of control of how your data is processed, this is going to make you smile.
Birst does not shy away from the challenges of data governance and stewardship vs the dangers of "quick and easy" departmental or project specific analytic projects where business rules are "invented" vs managed and data cube chaos can quickly become a big IT problem.
- Birst is best suited for canned report or standard MIS reporting.
- Email based reporting
- Birst can also be suited for management reporting, live tracking, alerts, and operations reporting (with a limited data set)
- Financial reporting based on time (with a limited data set)
- More employees need access to data
- Poor data warehouse infrastructure
Less appropriate scenarios
- For merchandising companies where the level of detail involves a lot of rows.
- Multiple data sources which increases load at backend
- International users outside US
- Decisions had to be made real time and faster
- More dependency on customer service
- Excel or flat file based analytics
- External Input is frequently required in reports
- Interactive dashboarding
- Advanced analytics involving model building.
- To provide self-service analytics to our customers, its embedding capabilities, self-services tools and ETL capabilities.
- The platform has the disadvantage of its advantages, it does many things for you but not always to your liking so we sometimes had to bypass Birst and work with the DB directly for instance. We also faced challenges to make the platform fit in our context using streaming data sources and the delivery of a single solution into different customers environment.
Less well suited to time-critical reporting due to current issues with Birst server performance (although this is being addressed).
Birst is not a tool for large scale reporting needs. I would not consider birst if i had to do advanced reporting and if having an extensive access to visualization options is important.
BIRST is not suitable for end users that are external where the level of quality needs to be higher, the pace by which changes are handled impact the ability for an organization to commit to customers.
Where we have requests for ad-hoc reporting, it can take some time to set up the required reports, when the report may never be required again.
Birst Support has been outstanding to work with as we tackle OEM projects new to both our company and Birst. Work arounds and enhancements have assisted Apex in pushing out a high quality branded product to thousands of customer.
Birst's Direct Connect product provides for real-time reporting; which is a nice add on to the DWH based BI. Support of embedded reporting and SSO makes Birst easier to integrate and support.
The addition of Mobile delivered BI to our Customers in an entirely new way - anywhere anytime.
We are very satisfied with how well Birst has preformed and look forward what is to come in 2018.
- Bringing together data from multiple sources into one platform.
- Great flexibility to simplify and display data.
- There is a large learning curve to achieve full implementation.
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)
- 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: 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
- Supported: Pixel Perfect reports
- Supported: Customizable dashboards
- Supported: Report Formatting Templates
- Supported: Drill-down analysis
- Supported: Formatting capabilities
- Supported: Predictive modeling
- Supported: Integration with R or other statistical packages
- Supported: Report sharing and collaboration
- Supported: Publish to Web
- Supported: Publish to PDF
- Supported: Output Raw Supporting Data
- Supported: Report Delivery Scheduling
- 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
- 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)
- Supported: Responsive Design for Web Access
- Supported: Dedicated iOS Application
- Supported: Dedicated Android Application
- Supported: Dashboard / Report / Visualization Interactivity on Mobile
- Predictive Pipeline, from XANT (formerly InsideSales.com)
- Entrinsik Informer
- IBM Cognos Analytics
- InsightSquared Sales Analytics
- TIBCO Jaspersoft
- Knowledge360, from Consensus Point + Cipher
- Tableau Desktop
- Tableau Public
- Tableau Server
- Chartio (discontinued)
- SAP BusinessObjects Business Intelligence (BI) Platform
- Zoho Analytics (formerly Zoho Reports)
|Basic License||$30,000||Per 20 Users Per Year|
|Deployment Types||On-premise, SaaS|
|Operating Systems||Windows, Mac|
|Mobile Application||Apple iOS, Android, Mobile Web|
|Supported Languages||Arabic, English, Dutch, French, German, Japanese, Korean, Portuguese (Brazil), Simplified Chinese, Spanish|