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SPECIFICTION
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Datalore vs Observable

Datalore

jetbrains.com

Observable

observablehq.com

Side by side

FigureDataloreObservable
Price from$29.17/mo$22/mo
Free planYesYes
Free trialYes—
Open source——
WebYesYes
LinuxYes—
APIYes—
Self-hostedYesYes
Plans published74
Spec score · Coding Playgrounds9.3 (#5)8.4 (#34)
Spec score · Notebook Software9.3 (#1)7.9 (#16)
Spec score · Scientific Computing Notebooks9.3 (#2)7.7 (#9)
CollaborationReal-time notebook collaboration, link or email sharing, access levels and shared workspaces are supported.Observable supports real-time multiplayer editing, fork-and-merge workflows, comments, fine-grained access, and version history.
Database integrationsDatalore supports database connections including Amazon Redshift, Azure SQL Database, MariaDB, MySQL, Oracle, PostgreSQL, and Snowflake.Observable documentation lists hosted connectors for Amazon Redshift, BigQuery, Databricks, Mongo SQL, MySQL, Oracle, PostgreSQL, Snowflake, and SQL Server.
Founded20002016
Free planYesYes
PurposeDatalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data.Observable notebooks are lightweight documents for analyzing and visualizing data, explaining ideas with code, and supporting data-driven workflows with custom apps.
SupportThe On-Premises plan includes enterprise-grade customer support and solution architect consultations.The pricing page lists standard support for Free, priority support for Pro and Team, and dedicated support for Enterprise.

Plans

Datalore

  • Cloud FreeFree
  • Cloud$35 a month
  • Cloud FreeFree
  • Cloud annual$29.17 a month
  • Cloud$35 a month
  • Cloud$350.04 a year
  • On-PremisesPriced on request

Datalore pricing →

Observable

  • FreeFree
  • Pro$22 a month
  • TeamPrice not published
  • EnterprisePriced on request

Observable pricing →

In their own words

Datalore

Datalore is a collaborative data science platform for exploring, analyzing, visualizing and sharing data. Its Jupyter-compatible notebooks provide coding assistance for Python, Kotlin, Scala and R, with native SQL cells that can transfer query results into pandas DataFrames. Teams can edit code together in real time and share notebooks with view or edit access. Notebooks can become data stories or static and interactive reports. Datalore AI can help write Python, SQL and R code, describe findings and fix errors. Database connections include Amazon Redshift, Azure SQL Database, MariaDB, MySQL, Oracle, PostgreSQL and Snowflake; AWS S3 and Google Cloud Storage buckets can be mounted as notebook folders. The free plan includes 120 CPU S machine hours and 10 GB of cloud storage. The Cloud plan costs $35 a month, billed monthly. On-Premises deployment runs on 64-bit Linux using Docker Compose or Kubernetes, but not on ARM, macOS or Windows hosts. JetBrains states that Datalore deployments are SOC 2 Type II certified and GDPR compliant.

Visit jetbrains.com

Observable

Observable provides notebooks for analyzing and visualizing data, explaining ideas with code, and building data-driven workflows or custom apps. Notebooks use cells, display live values beside code, and include a dataflow panel for tracing program behavior. Collaboration includes real-time editing, comments, fork-and-merge workflows, fine-grained access, and version history. Built-in inputs include files, databases, secrets, libraries, and other inputs. Hosted connectors cover Redshift, BigQuery, Databricks, Mongo SQL, MySQL, Oracle, PostgreSQL, Snowflake, and SQL Server. Database clients work from private notebooks; sharing or publishing a connector-based notebook revokes that database access. Observable supports web use, local development, self-hosting, custom domains, public sharing, and deployment. Open-source tooling can generate static sites, and notebooks use readable plain text with web-compatible npm libraries. Free costs nothing. Pro is $2,225 a month as listed, billed $22 per month annually or $25 monthly; Team is $4,045 a month as listed.

Visit observablehq.com