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Tag: lakehouse

The Data Lakehouse Is On the Horizon, But It’s Not Smooth Sailing Yet

Data warehouses and data lakes serve clear and distinct purposes. Typically, data warehouses store structured data according to a predefined schema to generate fast query speeds for reporting purposes.  Data lakes, on t Read more…

There Are Many Paths to the Data Lakehouse. Choose Wisely

You don’t need a crystal ball to see that the data lakehouse is the future. At some point soon, it will be the default way of interacting with data, combining scale with cost-effectiveness. Also easy to predict is t Read more…

Databricks Versus Snowflake: Comparing Data Giants

Databricks and Snowflake have emerged as predominant providers of big data analytics platforms in the cloud. While there are some similarities between the two rivals, there are also important differences in their offerin Read more…

All-In-One Data Fabrics Knocking on the Lakehouse Door

Sure, you could stitch together your own data management tools and run it on a lakehouse outfitted with your choice of data processing engines. Or you could buy a pre-built data fabric pre-integrated atop a lakehouse arc Read more…

Databricks Strings a Data Mesh with Lakehouse Federation

Databricks this week unveiled Lakehouse Federation, a set of new capabilities in its Unity Catalog that will enable its Delta Lake customers to access, govern, and process data residing outside of its lakehouse. The comp Read more…

Cloudera: Over 25 Million Terabytes Served

Who do you trust with big data? If you’re Cloudera CEO Rob Bearden, you point out that your company is helping to manage 25 million terabytes of customer data. You also launch a large language model and observability s Read more…

Open Table Formats Square Off in Lakehouse Data Smackdown

If you’re constructing a data lakehouse today, you’ll need a table format to build on. But which open table format should you choose: Apache Iceberg, Databricks Delta Table, or Apache Hudi? A good place to start is i Read more…

Starburst Bolsters Trino Platform as Datanova Begins

Starburst today rolled out a host of enhancements to its Trino-based analytics platform for the cloud, called Galaxy, including support for Python, new caching and indexing features, and a new data catalog. The company u Read more…

How Intuit Is Building AI, Analytics, and Streaming on One Lakehouse

With more than 100 million customers and revenues close to $10 billion, Intuit has enterprise-scale data processing needs, as well as enterprise-scale challenges. Faced with the prospect of building independent architect Read more…

Databricks Claims 30x Advantage in the Lakehouse, But Does It Hold Water?

Databricks CEO Ali Ghodsi turned some heads last week with a bold claim: Customers can get 30x price-performance advantage over Snowflake when running SQL queries in a lakehouse setup. However, Snowflake waved off the st Read more…

Databricks Bolsters Governance and Secure Sharing in the Lakehouse

Data governance is one of the four pillars necessary for the future of AI, along with past-looking analytics, future-looking AI, and real-time decision-making. To that end, Databricks rolled out several new governance ca Read more…

Databricks Opens Up Its Delta Lakehouse at Data + AI Summit

Databricks, which had faced criticism of running a closed lakehouse, is open sourcing most of the technology behind Delta Lake, including its APIs, with the launch of Delta Lake 2.0. That was one of a number of announcem Read more…

Ahana Launches ‘Forever Free’ Presto Service, Series A Top-Off

Ahana today announced a free version of its hosted Presto service that can run on a six-node EC2 cluster indefinitely. It also added another $7.2 million to its previously announced Series A round, giving the startup mor Read more…

Will the Data Lakehouse Lead to Warehouse-Style Lock-In?

Lakehouse architectures are gaining steam as a preferred method for doing big data analytics in the cloud, thanks to the way they blend traditional data warehousing concepts with today’s cloud tech. But could lakehouse Read more…

Five Ways Big Data Projects Can Go Wrong (And What You Can Do About Them)

So your big data project isn’t panning out the way you wanted? You’re not alone. The poor success rate of big data projects has been a persistent theme over the past 10 years, and the same types of struggles are show Read more…

Google Cloud Opens Door to the Lakehouse with BigLake

Google Cloud made its way into the lakehouse arena today with the launch of Big Lake, a new storage engine that melds the governance of its data warehousing offering, BigQuery, with the flexibility of open data formats a Read more…

Lakehouse Update a Warehouse Killer, Dremio Says

Dremio co-founder and Chief Product Officer Tomer Shiran says the data lakehouse architecture updates it announced today at the start of its Subsurface Winter Live conference--including a 60% faster query engine, a new d Read more…

Databricks Releases Lakehouse for Financial Services

Databricks first launched its lakehouse architecture in 2017, combining elements of data warehouses, data lakes, and streaming data analytics in a move that has paid off—literally and figuratively—in ensuing years as Read more…

Databricks SQL Now GA, Bringing Traditional BI to the Lakehouse

Companies that want to run traditional enterprise BI workloads but don’t want to involve a traditional data warehouse may be interested in the new Databricks SQL service that became generally available yesterday. Th Read more…

HPE Adds Lakehouse to GreenLake, Targets Databricks

Imitation may be the sincerest form of flattery. But if you’re Databricks, you might not be too flattered by HPE, which today announced Ezmeral Unified Analytics, a new lakehouse offering based on Spark and Databricks� Read more…

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