

Zaloni today rolled out Data Lake in a Box, a soup-to-nuts offering for getting a fully governed Hadoop cluster up and running in eight weeks or less. The offering includes Hadoop software, data management middleware, and implementation services. “Everything but the hardware,” Zaloni’s VP of marketing says.
While Hadoop clusters are powerful data storage and processing machines, they’re not easy to implement or manage. There are many configurations settings that require skill and experience to get right. And once the cluster is configured, getting the data ingested in a way that it can actually be worked with is not a trivial matter.
It’s not uncommon to hear about six-month Hadoop deployments. In these situations, much of the time spent is spent building and implementing data management processes that ensure the data is governed, discoverable, and accessible to the end-users who will (eventually) be allowed access into the cluster, or at least a part of it.
Zaloni is hoping to shortcut these extended deployments by bringing together all the software and services necessary to get a general-purpose and governed Hadoop cluster up and running in about two months.
“We’re helping companies get fully hydrated in under eight weeks,” says Zaloni vice president Kelly Schupp. “We’re reducing the time and effort it takes by up to 75%, and at the same time we’re providing the kind of visibility and governance support they’re going to need, because, as that data is getting ingested, it’s being tagged and cataloged.”
Data Lake in a Box combines Bedrock, its data lake management offering, and Mica, its self-service user access offering, with its Ingestion Factory software and users choice of Hadoop distribution, including plain vanilla Apache Hadoop or, for an extra fee, the Hadoop distributions from Cloudera or MapR.
It’s all about quickly creating a fully governed Hadoop cluster that will serve the needs of the business for many years, says Tony Fisher, Zaloni’s senior VP of strategy and business development.
While eight weeks is a big improvement over six months, it’s still not as quick as some offerings that promise to create ready-to-use Hadoop clusters in a matter of days. The key difference there is quality, says Tony Fisher, Zaloni’s senior VP of strategy and business development.
“There’s a big difference between creating a data lake and a data swamp,” Fisher says “You can ingest anything into a data lake in three days. But the fact of the matter is it doesn’t’ have the data quality, the rigor, or the types of things you’re going to need to do productive analytics on it.”
The offering doesn’t include analytics; it’s up to the user to bring those. That’s fine because most customers these days are developing their own analytics in Python or R using data science notebooks, or hooking Excel, Tableau, or Qlik BI tools to visualize and manipulate data.
Companies that adopt Hadoop are finding that it takes more time and effort than they expected to get good results out of Hadoop, says Nik Rouda, an analyst with Enterprise Strategy Group.
“Operationalizing data lakes has proven much harder and taken much longer than most enterprises would want,” he states in Zaloni’s press release. “This process typically involves manually cobbling together a large number of disparate tools, and then trying to support that mess going forwards. Zaloni integrates all the essential capabilities and best practices and packages them up, delivering quality and productivity right out of the box.”
Zaloni says it’s getting traction with Bedrock and Mica, which come together in a single offering for the first time with the new Data Lake in a Box offering. The company says bookings and revenues grew by 3x from 2015 to 2016, and it’s hoping the new offering continues that momentum.
One of the Durham, North Carolina company’s customers, Emirates Integrated Telecommunications Company (also known simply as du), will be in San Jose, California this week to present at the Strata + Hadoop World show. The company will discuss its experience with Zaloni’s products. Other prominent Zaloni customers include SCL Health, CDS Global, and Pechanga Resort and Casino.
Related Items:
Dr. Elephant Steps Up to Cure Hadoop Cluster Pains
IBM Taps Zaloni to Ride Herd on Hadoop
March 28, 2025
March 27, 2025
- IBM Expands On-Prem Offerings with Storage Ceph as a Service
- Dataminr Partners with WWT to Launch Unified Cyber-Physical Threat Intelligence Platform
- Dataiku Announces 2025 Partner Award Winners
- Marvell Showcases PCIe Gen 6 Optical Interconnect for AI Infrastructure
- Akamai Launches Cloud Inference to Boost AI Workloads at the Edge
- Prophecy Introduces Fully Governed Self-Service Data Preparation for Databricks SQL
- Verdantis Launches Next-Gen AI Solutions to Transform Enterprise Master Data Management
- TDengine Releases TDgpt, Extending the Power of AI to the Industrial Sector
March 26, 2025
- Quest Adds GenAI to Toad to Bridge the Skills Gap in Modern Database Management
- SymphonyAI Expands Industrial AI to the Edge with Microsoft Azure IoT Operations
- New Relic Report Reveals Media and Entertainment Sector Looks to Observability to Drive Adoption of AI
- Databricks and Anthropic Sign Deal to Bring Claude Models to Data Intelligence Platform
- Red Hat Boosts Enterprise AI Across the Hybrid Cloud with Red Hat AI
March 25, 2025
- Cognizant Advances Industry AI with NVIDIA-Powered Agents, Digital Twins, and LLMs
- Grafana Labs Unveils 2025 Observability Survey Findings and Open Source Updates at KubeCon Europe
- Algolia Boosts Browse with AI-Powered Collections
- AWS Expands Amazon Q in QuickSight with New AI Scenarios Capability
- Komprise Automates Complex Unstructured Data Migrations
- PEAK:AIO Chosen by Scan to Support Next-Gen GPUaaS Platform
- PayPal Feeds the DL Beast with Huge Vault of Fraud Data
- OpenTelemetry Is Too Complicated, VictoriaMetrics Says
- Accelerating Agentic AI Productivity with Enterprise Frameworks
- When Will Large Vision Models Have Their ChatGPT Moment?
- The Future of AI Agents is Event-Driven
- Your Next Big Job in Tech: AI Engineer
- Data Warehousing for the (AI) Win
- Nvidia Touts Next Generation GPU Superchip and New Photonic Switches
- Alation Aims to Automate Data Management Drudgery with AI
- Can You Afford to Run Agentic AI in the Cloud?
- More Features…
- Clickhouse Acquires HyperDX To Advance Open-Source Observability
- NVIDIA GTC 2025: What to Expect From the Ultimate AI Event?
- IBM to Buy DataStax for Database, GenAI Capabilities
- EDB Says It Tops Oracle, Other Databases in Benchmarks
- Google Launches Data Science Agent for Colab
- Databricks Unveils LakeFlow: A Unified and Intelligent Tool for Data Engineering
- Reporter’s Notebook: AI Hype and Glory at Nvidia GTC 2025
- Grafana’s Annual Report Uncovers Key Insights into the Future of Observability
- Excessive Cloud Spending In the Spotlight
- Big Data Heads to the Moon
- More News In Brief…
- Gartner Predicts 40% of Generative AI Solutions Will Be Multimodal By 2027
- Snowflake Ventures Invests in Anomalo for Advanced Data Quality Monitoring in the AI Data Cloud
- NVIDIA Unveils AI Data Platform for Accelerated AI Query Workloads in Enterprise Storage
- Accenture Invests in OPAQUE to Advance Confidential AI and Data Solutions
- Alation Introduces Agentic Platform to Automate Data Management and Governance
- Seagate Unveils IronWolf Pro 24TB Hard Drive for SMBs and Enterprises
- Gartner Identifies Top Trends in Data and Analytics for 2025
- Qlik Survey Finds AI at Risk as Poor Data Quality Undermines Investments
- Palantir and Databricks Announce Strategic Product Partnership to Deliver Secure and Efficient AI to Customers
- HighByte Launches API Builder for Industrial Data
- More This Just In…