Varada Named a ‘Cool Vendor in Data Management’ by Gartner
2 min read

Varada Named a ‘Cool Vendor in Data Management’ by Gartner

We are thrilled to share that Varada was chosen to be included in the Cool Vendors in Data Management report by Gartner, Inc. This is a strong confirmation of our approach to the market and our technical vision for helping organizations achieve their business goals through data virtualization.  Embracing the Data Lake Architecture “Data and Analytics Leaders looking to accelerate t...
Eran Vanounou
Eran Vanounou
October 21 2020
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All Big Data Indexing Data Lake Data Virtualization Observability Presto Query Acceleration
PrestoSQL is now trino
2 min read
PrestoSQL is now trino
When we started Varada, we faced a strategic decision. Among several data lake query engines that were available, we chose Presto as the SQL query engines on which we built Varada. Born in Facebook, Presto was gaining popularity in the developer community as a groundbreaking query engine that finally enables organizations to query their entire data lake and connect to as many data sources a...
Eran Vanounou
Eran Vanounou
January 6 2021
The Power of Big Data Indexing for Analytics
3 min read
The Power of Big Data Indexing for Analytics
A standard approach for speeding up access to data in a database is indexing fields that are commonly used in query predicates. The most common indexing techniques were developed for transaction processing databases. For example, by indexing on a customer identifier, a database management system can efficiently find just the records associated with a customer. Instead of scanning the entire da...
Shira Sarid
Shira Sarid
December 30 2020
Choosing Smart: Micro-Partitioning vs. Indexing
7 min read
Choosing Smart: Micro-Partitioning vs. Indexing
How to choose the right solution for your big data analytics engine The most important decision in order to get reasonable performance out of your analytics database is to choose how data is stored and accessed. There are two approaches, both specifically optimized for efficient, high performance analytics. Micro-partitioning uses the values of a single column to divide subsets of each tabl...
David Krakov
David Krakov
December 20 2020
Faster Analytics On Your Data Lake, Without Breaking Your Budget
6 min read
Faster Analytics On Your Data Lake, Without Breaking Your Budget
Day to day, only three things matter in your analytics deployment: production SLAs, user satisfaction, and staying within budget. Like many three-factor problems, you get to pick two and have to make compromises on the third. Production SLAs are not negotiable, so what you end up balancing is user satisfaction and budgets. When you’re just getting started and budgets are small, it’s easy to ex...
Ori Reshef
Ori Reshef
November 4 2020
Three Critical Capabilities for Effective Financial Governance Over Analytics on the Data Lake
6 min read
Three Critical Capabilities for Effective Financial Governance Over Analytics on the Data Lake
A data lake without any users has the potential to be more of a money pit than a valuable asset. Yet once you give users access to the company data lake, you quickly discover that it can be a financial liability as well. Giving users unrestrained access to analytics is a virtual guarantee that you’ll end up with massive cost overruns. All too often, the spend visibility and control levers ...
Ori Reshef
Ori Reshef
October 29 2020
Why Visibility is Critical for Success in Enterprise Data Analytics
4 min read
Why Visibility is Critical for Success in Enterprise Data Analytics
As a data team, you’re drowning in demand from users requesting analytics access to your corporate data lake. There's a good reason to welcome these requests. Having spent years investing in data collection pipelines and establishing data governance and controls, the organization is primed to start using data as a strategic asset rather than just a cost center. After all, a data lake without a...
Ori Reshef
Ori Reshef
October 20 2020
There are no Shortcuts to Optimizing Analytics Performance
5 min read
There are no Shortcuts to Optimizing Analytics Performance
Getting your users access to analytics is just the first step in delivering on the promise of a data lake. In order to scale up to organization wide analytics, you need to make sure that your solution is tuned for your users’ needs. The simplest approach is to outsource your analytics to an external provider. By shipping off your data on a per user basis, you offload the burden of tuning and t...
David Krakov
David Krakov
October 15 2020
How to Create a Well Designed Data Lake Architecture?
3 min read
How to Create a Well Designed Data Lake Architecture?
Data Lakes Deliver Unprecedented Agility A data lake is an essential tool for big data analytics, making data accessible in a way that can impact business change as quickly and efficiently as possible. Rather than merely reporting and running business intelligence solutions on existing business operations in a data warehouse or analyzing how the business is performing, a data lake gives org...
Shira Sarid
Shira Sarid
October 7 2020
Varada Raises $12mm Series A from MizMaa, Gefen & Existing Investors
2 min read
Varada Raises $12mm Series A from MizMaa, Gefen & Existing Investors
Varada to launch agile, ‘zero data-ops’ big data platform that gives organizations full visibility, cost management and data control. We are very happy to announce that today we closed a $12 million Series A round of funding. The round is led by MizMaa Ventures, an early-stage venture capital firm investing in Israeli technology startups, with participation by Gefen Capital. The round also i...
Shira Sarid
Shira Sarid
September 15 2020
The Data Virtualization Evolution is Just Beginning… (Part II)
3 min read
The Data Virtualization Evolution is Just Beginning… (Part II)
Read part I of the blog here. Tackling Data Virtualization Performance Issues Presto-based AWS Athena is a good example for a zero data-ops implementation, perfect for ad hoc queries and initial experiments with data virtualization. However, in these kinds of native implementations, users are often driven to augment the data stack due to lack of control over performance and cost. ...
Eran Vanounou
Eran Vanounou
September 9 2020
The Data Virtualization Evolution is Just Beginning…
4 min read
The Data Virtualization Evolution is Just Beginning…
Data virtualization revolutionized the data infrastructure space by servingdata consumers directly on top of the data lake without the need to move data elsewhere. At its core, data virtualization was born to deliver flexibility and quick time-to-market to any data consumer, while mitigating many challenges that slowed down data teams, with ease of use to run any query at any time. But, dat...
Eran Vanounou
Eran Vanounou
September 3 2020
AWS Athena is Extremely Easy to Use, But Soon Becomes Yet Another Silo Solution
4 min read
AWS Athena is Extremely Easy to Use, But Soon Becomes Yet Another Silo Solution
Data Lakes have emerged as the standard for big data management with data virtualization becoming the predominant approach for versatile large scale analytics. Data virtualization is achieved by layering a query engine on top of a data lake. Pioneered by early open source data technologies such as Hive on Hadoop, modern day data virtualization rivals the most powerful data warehouse technologi...
David Krakov
David Krakov
August 24 2020
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