Plans and Pricing

You can create a semantic data model powered with relationships and connect it to one or more data sources.  The modeled data can be accessed in SQL, Spark, Phyton, Scala, Java and R, or can be consumed with business intelligence tools via ODBC/JDBC, data science tools and web applications via REST. Modeled data can be graphically explored as a network and can also be analyzed with a library of graph algorithms run with simple SQL queries.

Our platform makes it fast and easy to model data, connect with any datastore, and securely share what you’ve built with other users – all in one place.

Data engineers are generally the ones creating the semantic data models. It usually takes an engineer no more than a few minutes to understand how Timbr works. But anyone who knows SQL can learn to build pretty quickly – many of the most active builders in Timbr today were once non-technical end users.

With all plans you can connect to: Amazon Athena, Amazon Aurora, Amazon Redshift, Apache Drill, Apache Spark, Clickhouse, Databricks, Google Big Query, Apache Hive, MariaDB, MySQL, Oracle, PostgreSQL, Presto, SAP Hana, Snowflake, SQL Server, Azure Synapse, Trino, Vertica.

With a Business plan you can also connect to: Microsoft Azure Data Lake, Google Cloud Storage, Amazon S3, Mongo DB

Once you build your semantic graph model in Timbr and map it to your data, the model can be accessed in SQL, Spark, Phyton, Scala, Java and R, or can be consumed with business intelligence tools via ODBC/JDBC, data science tools and web applications via REST API. Modeled data can be graphically explored as a network and can also be analyzed with a library of graph algorithms using simple SQL queries.

Business intelligence apps: Power BI, Tableau, Google Data Studio and any other app with ODBC and JDBC connector.

Data Science: Timbr is natively accessible to Python’s JPype, JayDeBeAPI, and SQL-Alchemy libraries, in Apache Spark, SQL, R, Python, Scala and Java. Seamlessly connect to Jupyter, Apache Zeppelin and Pandas.

Data virtualization is not available for the Teams plan. If you contract a Business plan, you may connect your own data virtualization engine (Spark or Databricks). For Enterprise plans we offer our advanced data virtualization engine.

It generally takes an engineer around ten minutes to understand the concepts of Timbr, and another few hours to create a basic model. Timbr is very easy to learn and use. You can watch our tutorial videos here.

All of our plans are available as a cloud version of Timbr (we host). The enterprise plan may also be self-hosted in your cloud (you host).

If you have more stringent data requirements, you can deploy Timbr on-premises in your own VPC/VPN. The setup is via Kubernetes and takes only a few minutes. Please contact us to deploy this option.

Timbr offers the kinds of security, reliability and access controls demanded by the most regulated of enterprises, paired with the flexibility, choice, and customization that is required by the most versatile of developers. Security levels depend on the plan you select.

Timbr does not store data, data remains in your database. 

Yes, for Teams, Business and Enterprise subscription plans.

We suggest you start with the Teams Plan and then upgrade to Business  or Enterprise as needed.

You can pay using your Azure account or your choice of Visa/MasterCard, Bank Transfer, American Express, JCB, PayPal, Discover, and many other options. Your payment is securely processed by our PCI DSS compliant partner. Enterprise plans can be paid with your Azure cloud account or via wire transfer and direct debit/ACH.

Sure! You can upgrade your subscription plan from within your account at any time.

Downgrading a plan is not possible since there is no option to select which data models are to be deleted. In this case you would need to cancel your subscription and purchase a new one.

You can modify your subscription by accessing your Timbr account. 

In case that you require advice from our team, we will be glad to assist. Please use the contact form to request professional services.

Yes, with an enterprise POC plan. Our team will work closely with you to achieve your use case KPIs. Contact us for more information.