--- description: Get information about OpenText Analytics Database price, usability & features from verified user experiences. Read reviews from Indian business users & discover similar tools. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: OpenText Analytics Database Price, Features, Reviews & Ratings - Capterra India --- Breadcrumb: [Home](/) > [Database Software](/directory/18/database-management/software) > [OpenText Analytics Database](/software/77111/vertica-analytics-platform) # OpenText Analytics Database Canonical: https://www.capterra.in/software/77111/vertica-analytics-platform > Unified analytics warehouse delivers the highest performance at extreme scale, regardless of where data resides or deployment mode. > > Verdict: Rated **4.8/5** by 5 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses OpenText Analytics Database? Any data-driven organization requiring higher performance at scale to address their emerging analytical use cases - from fraud detection to predictive maintenance to customer behavior analytics, more ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.8/5** | 5 Reviews | | Ease of Use | 4.2/5 | Based on overall reviews | | Customer Support Software | 4.2/5 | Based on overall reviews | | Value for Money | 4.3/5 | Based on overall reviews | | Features | 4.4/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: OpenText - **Founded**: 2004 ## Commercial Context - **Pricing model**: Per Feature (Free version available) (Free Trial) - **Pricing Details**: Straightforward per TB or per node pricing as well as by the hour on clouds - **Target Audience**: 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based, Windows (On-Premise) - **Supported Languages**: English - **Available Countries**: Canada, United Kingdom ## Features - Backup and Recovery - Data Connectors - Data Discovery Software - Data Migration - Data Replication - Data Visualization Software - Data Warehousing - ETL - Extract Transfer Load - High Volume Processing - Multiple Programming Languages Supported - Predictive Analytics Software - Reporting/Analytics ## Integrations (1 total) - SAS Viya ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base Software - 24/7 (Live rep) - Chat ## Category - [Database Software](https://www.capterra.in/directory/18/database-management/software) ## Related Categories - [Database Software](https://www.capterra.in/directory/18/database-management/software) - [Big Data Software](https://www.capterra.in/directory/30851/big-data/software) - [Predictive Analytics Software](https://www.capterra.in/directory/30945/predictive-analytics/software) - [Machine Learning Software](https://www.capterra.in/directory/31103/machine-learning/software) - [Data Warehouse Software](https://www.capterra.in/directory/31116/data-warehouse/software) ## Alternatives 1. [Google Cloud](https://www.capterra.in/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) 2. [Domo](https://www.capterra.in/software/119119/domo) — 4.3/5 (329 reviews) 3. [Grow](https://www.capterra.in/software/136247/grow) — 4.4/5 (400 reviews) 4. [EntelliFusion](https://www.capterra.in/software/207622/entellifusion) (0 reviews) 5. [Snowflake](https://www.capterra.in/software/148267/snowflake) — 4.7/5 (96 reviews) ## Reviews ### "Best Analytical Database I have ever used" — 5.0/5 > **Ruban** | *20 June 2022* | Information Technology & Services | Recommendation rating: 10.0/10 > > **Pros**: Analytical features that is available with this DB. Ease of use with Text User Interface and UI. Deployment is very fast and easy to do. Integration support with almost all top ingress and egress platform like. Apache Kafka, Flume, Hadoop etc. Very efficient and easy to deploy multinode cluster. > > **Cons**: Nothing I can think of, I was having node health issue alert even when the node was online. I need to upgrade to latest version and hope that issue has been addressed. > > I'm using vertical as a analytical dB for twitter sentiment analysis. I have used Flume to get twitter data and use R to move the data from Hadoop to vertica DB and do analytical function and project the data in tableau. ----- ### "Smart database management tool" — 5.0/5 > **Verified Reviewer** | *14 January 2023* | Information Technology & Services | Recommendation rating: 9.0/10 > > **Pros**: The robustness we get by using Vertica over other database management tools is a real game changer. We get stream of high volume data and the data needs to be processed at a rapid rate to keep up with the processes in the pipeline. Here, Vertica delivers on the expectations. > > **Cons**: While Vertica is robust, there are data size limitations. After a certain threshold, the software breaks\! Although we are able to work around and make the floorplans such that this doesn't hamper live processes, but the data size limitations can kick-in. ----- ### "Database Management tool" — 4.0/5 > **Carine Sylvie** | *19 October 2023* | Marketing & Advertising | Recommendation rating: 7.0/10 > > **Pros**: One of the best SQL database management tool. A good solution to store and manage data. > > **Cons**: I have nothing particular to say against this tool. ----- ### "Vertica - Fastest MPP database to build data warehouses \!" — 5.0/5 > **Verified Reviewer** | *16 March 2023* | Telecommunications | Recommendation rating: 8.0/10 > > **Pros**: The best MPP database one can get to build analytical data warehouses . The columnar database architecture helps to query the data from the databases very quickly and efficiently . The dimension modeling made easy with Vertica. > > **Cons**: The GUI of the Vertica interface definitely needs improvement. The node manage can also be done better to perform snowflake architecture querying. > > MPP database to build good enterprise data warehouse. ----- ### "light weight platform that works very well" — 5.0/5 > **Verified Reviewer** | *15 February 2019* | Biotechnology | Recommendation rating: 9.0/10 > > **Pros**: It is light weight and nimble but at the same time is good on performance - the fact that it is column store without the real need for indexing makes it easier to get started and then the storage requirement is also much smaller thanks to coding schemas and algorithms. > > **Cons**: for me, the biggest issue was the fact that it really affects performance when we try to run many large concurrent queries - I wish there was a solution to this. In addition, initial cost of investment to get started on Vertica may discourage SMB's. > > We were looking for an analytics platform that can work concurrently with hadoop clusters that was focused on performance and could also be inter-changeably used as a data processing engine. ## Links - [View on Capterra](https://www.capterra.in/software/77111/vertica-analytics-platform) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | ----- ## Structured Data