This partnership allows game developers building on Beamable to implement custom dashboards using direct access to their game data stored in Athena. Ma– Boston, MA – Today Beamable is announcing a partnership withPopSQL, a leading collaborative SQL editor and business reporting platform for teams. Next we explore how collaborative SQL editors fix the broken workflows in data collaboration.Use Athena access in Beamable to build custom dashboards for your game From cumbersome UIs to silos, they waste your time and lead to redundant cloud run costs.
#Colaberative sqleditor free#
There are many hidden costs to using legacy free tools. For exploration, though, get a collaborative editor. If a GUI is needed, we'd recommend one of the many free database management tools for that specific use case. create a table or import a CSV) can be handled with simple DDL statements. I need to manage a database.ĭatabase management tasks (e.g.
Collaborative SQL editors work with all major data sources. The web UIs in cloud data warehouses only run queries against themselves. Legacy SQL tools were built long before the advent of cloud data warehouses. You shouldn't need multiple tools just because you have multiple data sources. I query both a production database and a data warehouse. Collaborative SQL editors focus on accelerating exploration through uncharted territory. If your data team is bogged down pulling the same reports for business users, a BI tool may make sense (collaborative SQL editors can power reports too 😉 ). 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.
#Colaberative sqleditor Offline#
They bridge the chasm between solo, offline SQL tools and report-centric visualization tools. Collaborative SQL editors let your team explore faster and save precious time.
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