Every metric & dimension
Pull the full SimilarWeb Batch field set - sessions, events, dimensions, and breakdowns - not just a fixed preset, so your reports and models are never missing a metric.
Dataddo extracts the full SimilarWeb Batch metric and dimension set - sessions, events, rankings, behavior - and delivers it wherever your team needs it: into AI tools and agents, your warehouse like Snowflake and BigQuery, BI dashboards, and your marketing and CRM tools. Blend it with every other data source, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.
Analytics data is only useful when it's complete, clean, and current. Dataddo extracts the full SimilarWeb Batch data model, governs it, and serves it to every warehouse, dashboard, AI tool, and downstream system - continuously and without manual exports.
Pull the full SimilarWeb Batch field set - sessions, events, dimensions, and breakdowns - not just a fixed preset, so your reports and models are never missing a metric.
Combine SimilarWeb Batch with your marketing, product, and CRM data so cross-channel and full-funnel analytics live in one place.
Load historical SimilarWeb Batch data beyond the platform's retention window, so trend, cohort, and year-over-year analysis holds up.
Normalize naming, time zones, and units, and let the Data Quality Firewall stop bad rows before SimilarWeb Batch data reaches your reports.
Incremental, scheduled syncs keep SimilarWeb Batch data current - as often as hourly - without manual exports or full reloads.
Delivery alerts and quality checks catch gaps in SimilarWeb Batch data early, so dashboards and models never silently break.
Keep SimilarWeb Batch data flowing to every warehouse, dashboard, and tool - and see who owns it when an API or schema changes:
| Without Dataddo |
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs from SimilarWeb Batch keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean SimilarWeb Batch data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your SimilarWeb Batch reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any SimilarWeb Batch data you need, on request |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Gaps caught before dashboards break |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, fewer reporting gaps |
SimilarWeb Batch is a cloud API, so the question isn't on-prem vs cloud - it's which region your data flows through. With Dataddo you run the data plane in the region you choose, so SimilarWeb Batch payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud |
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises |
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
Analytics data rarely has one home. Dataddo feeds SimilarWeb Batch into AI and agents, loads it into your warehouse for unified analytics, activates insights back into marketing and CRM tools, and delivers files to storage - all governed the same way.
| Transport type | What it does | Typical destinations | Typical business use cases |
|---|---|---|---|
| Data to AI™ & Agents | Feed SimilarWeb Batch data into vector databases, LLMs, and AI agents so copilots can reason over your analytics. | Load SimilarWeb Batch metrics into vector stores for retrieval-augmented analytics assistants, Give AI agents and copilots governed access to live SimilarWeb Batch data | |
| ETL / ELT to your warehouse | Load SimilarWeb Batch metrics and dimensions into your warehouse for unified, cross-source analytics. | Centralize SimilarWeb Batch alongside every other source in Snowflake, BigQuery, or Redshift, Backfill SimilarWeb Batch history for trend and cohort analysis | |
| Activate insights | Push segments and modeled metrics built from SimilarWeb Batch data back into ad and CRM platforms. | Sync modeled audiences and scores from SimilarWeb Batch to ad and CRM tools, Return insights to optimize campaigns and targeting | |
| Files to storage & partners | Deliver raw or modeled SimilarWeb Batch extracts to object storage and partners. | Archive raw SimilarWeb Batch exports to S3, GCS, or Azure storage, Send scheduled SimilarWeb Batch extracts to partners over SFTP |
65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.
Beauty & Consumer Goods
How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo
Entertainment
How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts
Entertainment
How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo
Healthcare
How Ringside.ai Builds a Data Product Better and Faster Using Dataddo
Marketing
How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product
Advertising
Move data into your warehouse, lake or business apps with Data Anywhere, or let your AI assistants query it directly with Data to AI™. Need tailored contracts or volume pricing? Talk to us about Enterprise.
Serve governed business data to Claude, ChatGPT and other AI tools over MCP.
$10.49/month
per seat
3 seats minimum
Sync data between any sources and any destinations.
$99/month
3
Flexibly deploy Dataddo in any cloud or hybrid environment.
Custom
We have a payment model that works for you
To any of Dataddo's 150+ destinations - warehouses like Snowflake and BigQuery, BI dashboards, CRMs and marketing tools, object storage, and AI or vector stores - plus custom destinations on request.
No. Dataddo is fully managed: we maintain the SimilarWeb Batch connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.
Yes. Dataddo loads SimilarWeb Batch into Snowflake, BigQuery, or Redshift alongside your other analytics, marketing, and product sources, so you can build one unified view instead of stitching exports together.
That's on us, not you. Dataddo's team proactively tracks SimilarWeb Batch API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your SimilarWeb Batch data keeps flowing without you touching a thing.
The full SimilarWeb Batch API surface - every metric, dimension, and breakdown, not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.
Dataddo handles SimilarWeb Batch pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within API quotas without impacting your source.
No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.