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Restate vs Sisense

Restate logo

Restate

Developer Tools

Durable execution engine in Rust with a free tier and low-latency workflows

From
Free
Free plan
Yes
Visit RestateFull review
Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
Free plan
No
Visit SisenseFull review

The short version

  • Sisense is an AI-driven analytics platform.
  • Restate has a free plan, then $300/mo; Sisense starts at $10000/yr.
  • Only Restate lists durable execution; only Sisense lists embedded Analytics.
  • Where Sisense falls short: pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Restate and Sisense actually diverge.

Attributes where Restate and Sisense differ
AttributeRestateSisense
Starting priceFree$10000/year
Free tierYesNo
PlatformsLinux, macOS, WebWeb, Self-hosted
CategoryDeveloper ToolsBusiness Intelligence

Not yet recorded: pricing model for Sisense, founded for Restate.

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Restate

  • Durable execution
  • Virtual objects
  • Single binary runtime
  • Multi-language SDKs
  • Workflows and sagas
  • Restate Cloud

Only in Sisense

  • Embedded Analytics
  • AI/ML Integration
  • In-chip Technology
  • White-labeling
  • REST API
  • Snowflake
  • AWS
  • Azure

What people use each for

The jobs each tool is most often brought in to do.

Restate

  • Payment or order flows where a crash between two external API calls must not double-charge or lose the ordernot Sisense
  • AI agent loops that call tools over minutes or hours and must survive a deployment mid-runnot Sisense
  • Replacing hand-rolled retry, idempotency key and outbox code across a set of microservicesnot Sisense
  • A small team that wants durable workflows without operating a Temporal cluster and its databasenot Sisense

Sisense

  • Self-service analyticsnot Restate
  • Data explorationnot Restate
  • Ad-hoc reportingnot Restate
  • Collaborative analysisnot Restate
  • Embedded analyticsnot Restate

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Restate

  • The runtime is under a Business Source Licence rather than an open source licence, so building a competing managed offering on it is prohibited and some procurement functions will reject it on licence grounds alone
  • Restate Cloud jumps from a free fifty thousand actions straight to 300 US dollars a month for twenty million, so a workload sitting at a few hundred thousand actions pays enterprise-shaped money for hobby-shaped volume
  • It is a young project against Temporal’s established base, so hiring engineers who already know it is unrealistic and the answer to most questions is in the docs rather than on Stack Overflow
  • The programming model requires structuring code around durable handlers and virtual objects, which is a genuine rewrite for existing services rather than a library you add
  • The single-binary simplicity that makes small deployments cheap also means fewer operational knobs at very large scale than a system designed as separable components

Sisense

  • Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • Limited connector ecosystem compared to competitors; missing native connectors to many data sources
  • Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
  • Performance issues reported with large datasets and stability problems with data cubes

Pricing, plan by plan

Restate

Free
  • FreeFree
    • Fifty thousand durable actions per month
    • No credit card required
    • Community support
  • Starter$300/mo
    • Twenty million actions per month
    • Two hundred actions per second, bursting to one thousand
    • Twenty GB storage
  • Pro$1,000/mo
    • Fifty million actions per month
    • Five hundred actions per second, bursting to two thousand
    • Fifty GB storage
  • EnterpriseOn request
    • Negotiated volume
    • Twenty-four seven P0 support
    • 99.99 per cent SLA

Sisense

$10000/year
  • Small Team$10,000/year minimum
    • Basic analytics dashboards
    • Limited data sources
  • Mid-MarketOn request
    • Advanced analytics
    • Multiple data sources
    • Custom integrations
  • Enterprise$60,000/year+
    • Advanced AI analytics
    • Premium support
    • Custom development

Which should you pick?

Choose Restate if

  • You need durable execution.
  • You want to start without paying.
  • You work on Linux, macOS, Web.
  • You also want virtual objects.
Restate review

Choose Sisense if

  • You need embedded analytics.
  • You work on Web, Self-hosted.
  • You also want ai/ml integration.
Sisense review

Questions people ask

Is Restate or Sisense better?
Neither clearly leads. Restate starts at Free and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Restate or Sisense?
Restate has a free tier; the other does not. Paid plans start at Free for Restate and $10000/year for Sisense.
Does Restate or Sisense run on more platforms?
Restate runs on Linux, macOS, Web. Sisense runs on Web, Self-hosted.
Can I use Restate for free?
Yes. Restate has a free tier, so you can try it without paying. Sisense starts at $10000/year.
What is Restate best used for?
Restate is most often used for payment or order flows where a crash between two external api calls must not double-charge or lose the order, ai agent loops that call tools over minutes or hours and must survive a deployment mid-run, replacing hand-rolled retry, idempotency key and outbox code across a set of microservices, a small team that wants durable workflows without operating a temporal cluster and its database. Of those, payment or order flows where a crash between two external api calls must not double-charge or lose the order and ai agent loops that call tools over minutes or hours and must survive a deployment mid-run are not what Sisense is typically brought in for.
What can Restate do that Sisense cannot?
Restate covers Durable execution, Virtual objects, Single binary runtime, Multi-language SDKs. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling.

Answered from the vendors’ own pages

Restate: Is Restate open source?

The SDKs are MIT. The runtime is under a Business Source Licence, which permits self-hosting but not offering it as a competing service.

Sisense: What is Sisense primarily used for?

Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.

Source
Restate: How does it compare with Temporal?

Same problem, different shape: one Rust binary with embedded storage instead of a server plus database plus workers, and lower per-step latency.

Sisense: Does Sisense have a transparent pricing model?

Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.

Source
Restate: Is there a free tier?

Yes, fifty thousand durable actions a month on Restate Cloud with no card required.

Sisense: What data sources can Sisense connect to?

Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.

Source
Restate: Which languages are supported?

TypeScript, Java, Kotlin, Go, Python and Rust.

Sisense: Is Sisense easy to use for non-technical users?

Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.

Source
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