Zero Mapping. Zero Data Prep. Zero Data Replication.
Immediate Insight Into NoSQL Data.
Direct, Instant NoSQL Analytics Software
SlamData’s advanced technology delivers immediate insight into NoSQL data without the expensive data prep, extracts and relocation needed for legacy BI tools.
More Than BI: Build Data Applications Right In Your Browser. No Coding.
SlamData offers unprecedented ease, sophistication and agility in one solution. Build complex analytical workflows, create interactive reports, scale to all your users.
No Prep = More Analysis
80% of enterprise analytics is data prep, ETL and trying to make legacy BI tools do things they aren’t designed to do. SlamData gives that 80% back.
Write Once, Deploy Anywhere, Use What You Already Know
Stop learning custom query languages. SlamData is a single solution for analytics across your NoSQL data that leverages the ubiquitous power of SQL.
The Most Powerful NoSQL Analytics
Leading News and Insight On NoSQL Analytics
The Hadoop Data Lake has been positioned as the one size fits all answer to a company’s data silo problems. In reality, Hadoop is often NOT the most efficient answer to the problem.read more
SlamData Inc., the leading open source analytics company for modern unstructured data today announced that it has raised a $6.7M Series A funding round, led by Shasta Ventures.read more
SlamData just released its first update of 2017, SlamData 4.1.1. It delivers a number of new UI enhancements, performance improvements, new charts, as well as commercial releases for the Couchbase, MarkLogic and Spark/Hadoop connectors.read more
Damon provides a quick “getting started” video for SlamData.read more
No Moving Data
The Characteristics of NoSQL Analytics Systems
This paper carves out a single concern, by focusing on the system-level capabilities required to derive maximum analytic value from a generalized model of NoSQL data. This approach leads to eight well-defined, objective characteristics, which collectively form a precise capabilities-based definition of a NoSQL analytics system.
- The Nature of NoSQL Data
- NoSQL Databases
- Big Data
- A Generic Data Model for NoSQL
- Approaches to NoSQL Analytics
- Coding & ETL
- Real-Time Analytics
- Relational Model Virtualization
- First-Class NoSQL Analytics
- Characteristics of NoSQL Analytics Systems
- Generic Data Model
- Isomorphic Data Model
- Unified Schema/Data
- Polymorphic Queries
- Dynamic Type Discovery & Conversion
- Structural Patterns