Changelog - Summand

User-facing changes worth knowing about, newest first. For real-time deploys and infra status, see status.summand.com.

May 2026

V2 sharing model — sharing now splits into two distinct concepts: filing (single-parent ownership inside a workspace) and publication (multi-target read access for users, workspace members, or showcase audiences). All authorization is enforced through OpenFGA. See Sharing.
Workspace as the share target for connectors and datasets — the grant model now consistently treats the workspace as the primary owner, with publications layered on top.

Workspace detail pages — drill into a workspace to see all of its connectors and datasets in one view.
Workspace listing redesign — clearer cards, faster load.

Fivetran connector — analyze any Fivetran-supported source (Databricks, Redshift, Oracle, SaaS APIs) without writing a native driver. See Fivetran.
Iceberg-native reads — for Iceberg tables, Summand now reads via Athena $files and $snapshots instead of bundling pyiceberg in Lambda. Faster, lighter, more accurate.
MFA enforcement for shared private datasets — accessing a private dataset shared with you now requires a fresh MFA challenge. See MFA.

Experiments and components — analysis is now configured as scheduled component runs against a dataset or view, replacing the older “pick a target column at upload” model. Target column moved from being a dataset field to being a typed input on the Predictors component. See Experiments and Components.
Views — saved SQL transformations with a visual builder, hand-edit code mode, and live Athena preview. Cross-dataset joins supported. Summand can also draft views from chat. See Views.
Delta Sharing connector — Databricks UniForm shares with Iceberg-backed incremental refresh. See Delta Sharing.
Azure SQL connector — Azure SQL Database and Managed Instance via TDS.

Multi-runtime semantic-layer pipeline — analysis components dispatch to Lambda or ECS based on workload size, cutting cold-start latency on small datasets.
SUM-140 Distributed Map — Step Functions Distributed Map for parallelizing per-component work across large datasets.

v1.0.0 GA — Summand exits beta. Pricing solidified to Free / Pro $99 / Education / Enterprise. See Pricing.
Per-account Pro pricing — flat $99/month, not per-seat.
Education tier — full Pro features for verified .edu users.
Enterprise SSO — WorkOS-based SAML 2.0 / OIDC, replacing the prior Cognito-based implementation.

Surprise finding — flag rows the predictor model considers unusual, ranked by confidence.
Summand assistant — the in-product AI assistant, powered by Claude with grounding from the semantic layer.
Database connectors — direct PostgreSQL, MySQL, Snowflake.
EBM-based predictor component — Explainable Boosting Machines as the default model class, replacing earlier black-box gradient boosting.

For a complete commit-level history, see the GitHub repository (private; access on request).