Colaberative sqleditor
I already have a BI tool.īI tools and collaborative SQL editors are not mutually exclusive. Sankey, chloropleths, etc), a BI tool may be needed. For niche or advanced visualizations (e.g. You shouldn't have to take a thousand steps to produce a chart. In a collaborative SQL editor, you'll find all the core visualizations. In a collaborative SQL editor, you can explore your new uncharted data immediately.
A few days (weeks?) later and you can finally explore. You have to wait for the few experts on that BI tool to instrument the data. For most BI tools, new territory is a bottleneck. a feature launch) takes you into uncharted territory.
#Colaberative sqleditor update
? Expensive, with opaque pricing and locked-in contractsĬommon use cases & FAQs: I am exploring uncharted territory.Īny update to your data model (e.g. ? Free (as you’re paying for data warehouse) ? Annual licenses required for each data- base type ? Supports all major data warehouses and databases via shared connections ? Supports all major data warehouses / databases
? Surprisingly, there are CLI packages for most cloud warehouses ? Clunky dated UIs (but 30% more clunky features!) ? Straightforward charts and dashboards at your fingertips ? None (some connect to external visualization) ? Built for rapid, iterative, and unbounded exploration ? Exploration only within the bounds of instru-mented data Data instru- mentation creates dependency / bottleneck They're built for nimble exploration and can go anywhere, fast. Collaborative SQL editor = speedboat ?.They steadily carry tons of cargo to the exact same place, but are slow-moving and need lots of maintenance. Business Intelligence tools = an oil tanker ?.You don't go any faster by tying your kayaks together. They bridge the chasm between solo, offline SQL tools and report-centric visualization tools. Secure your SQL.Collaborative SQL editors let your team explore faster and save precious time.
#Colaberative sqleditor code
Understand the context and value of data and analytics without running a single line of code Make analytics meaningful to everyone.Locate shared SQL instantly–and execute it in the code editor without copying and pasting.
#Colaberative sqleditor pro
Using Aginity Pro and Aginity Premium, SQL Server customers can: SQL Server 2019 customers now have access to Aginity’s next-generation SQL analysis tools, which re-imagine the way users and teams will share, collaborate, and reuse analytic and data assets. With Aginity and SQL Server 2019, customers will now be able to spend less time rewriting SQL and more time using it, whether on-premises or in the cloud,” said Paul Schaut, CEO of Aginity.Īnalysts writing SQL in Aginity Pro and Premium for SQL Server 2019 will now be able to take advantage of SQL Server 2019’s new features such as Big Data clusters, always-on availability, and intelligent query processing, which improves query performance. “We work closely with Microsoft and are excited to be extending support for their latest data platform in Aginity Pro and Aginity Premium.
Aginity Pro and Aginity Premium help SQL analysts work more efficiently and deliver consistent results by making every line of SQL searchable, reusable and shareable-which, in turn, drives actionable results and business growth. Aginity, the only active analytics catalog company, is changing how individuals and teams use SQL in their workflow. SQL is still the most popular language used to analyze data, and nearly every line of SQL that is written is valuable in the future.