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All-in-One Enterprise Data Observability

Observe Data 











For your Enterprise Data Systems
In cloud, on-premises, and hybrid
For data at rest, in motion, and at consumption


Does your data stack look like this?

For data-driven enterprises operating at Petabyte scale, Acceldata Enterprise Data Observability is the only viable choice today!

Complex Pipelines & Many Data Sources

Petabyte Scale Data

Legacy and Modern Data Stacks


Provide reliable, high quality data

Do you struggle with expensive data rework and quality fixes?  Acceldata measures data quality inline to catch problems at the source and at scale
No-code and low code data quality rules, smart suggestions
Comprehensive data quality including format, freshness, reconciliation and others
Automate actions, quarantine data and get to root cause in minutes instead of days
Learn more

Get AI & LLM ready

Concerned about bad data’s impact on your AI initiatives? Acceldata provides complete visibility into your data to confidently build your models
Monitor data-lineage and usage across pipelines
An industry-first real-time operational governance for 
all data types
Get your data right the first time and avoid expensive model-rework
Learn more

Gartner® Innovation Insight: Data Observability Enables Proactive Data Quality

View Report

Acceldata scalability by the numbers

Our platform processes petabyte-scale data daily for each customer, serving the world's largest data operations. Here are some metrics from a customer.
Rows of data
Reduction in data quality issue resolution time
Data quality rules applied inline

PhonePe uses Acceldata to scale open-source data platform by 10x


Integrated with all the tools you already use

See all integrations
A cloud-based data warehousing platform that separates storage and compute resources for scalability and flexibility.
A fully scalable relational database management system produced by Teradata Corp, primarily used to manage large data warehousing operations.
Line is an app that powers instant communications on electronic devices such as smartphones, tablet computers and personal computers.
SQL Server
Microsoft's relational database management system, offering a broad set of enterprise data management, business intelligence and analytics applications.
Microsoft Teams
Microsoft Teams is a unified communication and collaboration platform that combines chat, video meetings, file storage, and application integration.
Apache Spark is an open-source, distributed computing system used for big data processing and analytics, offering ease of use and speed.
Slack is a communication and collaboration tool that offers real-time messaging, file sharing, project management, and integrations with various apps for seamless communication and productivity.
A distributed, relational database that delivers high performance, scalability, and concurrent transactions across a unified database.


A cloud computing platform-as-a-service (PaaS) that provides enterprise service management, reporting metrics, self-service, and routing for IT service management, as well as business process automation


A powerful, open-source object-relational database system known for its proven architecture, reliability, and data integrity.


Apache NiFi is an integrated data logistics and simple event processing platform for automating the movement of data between disparate systems.


An incident management platform by Atlassian that ensures critical incidents are never missed, and actions are taken swiftly and effectively.


A digital operations management platform that provides reliable incident notifications via email, push, SMS, and phone, as well as automatic escalations, on-call scheduling, and other functionality to help teams detect and fix infrastructure problems quickly.


A powerful, object-relational database management system (ORDBMS) from Oracle Corporation, known for its scalability, reliability, and wide set of features.


An open-standard and decentralized authentication protocol that allows users to be authenticated by certain co-operating sites (known as Relying Parties) using a third party service.


An identity management platform providing secure identity management with Single Sign-On, Multi-factor Authentication, Lifecycle Management, and more.
Azure Data Lake Storage Gen2, Microsoft's scalable and secure data lake solution that combines the power of a Hadoop compatible file system with integrated hierarchical namespace.
AZURE SQL warehouse
Microsoft's cloud-based, scale-out database service that offers massively parallel processing for data warehousing.
An open-source platform to programmatically author, schedule, and monitor workflows.
Amazon Redshift
Amazon's fully managed, petabyte-scale data warehouse service in the cloud that makes it simple and cost-effective to analyze all your data.
Amazon S3
Amazon Simple Storage Service (S3) is a scalable, high-speed, web-based cloud storage service designed for online backup and archiving of data and applications.
A serverless, interactive query service by Amazon Web Services that makes it easy to analyze data directly in Amazon S3 using standard SQL.
Google's serverless and highly scalable data warehouse designed to make data analysts more productive with unmatched speed for SQL queries.
IBM's family of hybrid data management solutions, designed to provide robust capabilities for transactional and analytic workloads in on-premise, cloud, or hybrid environments.


An AI-driven, open-source platform with collaborative features for big data processing and machine learning.


Electronic mail is a method of exchanging messages ("mail") between people using electronic devices, a critical technology for personal and professional communication.

Google Cloud Storage

Google Cloud Storage is a RESTful online file storage web service for storing and accessing data on Google Cloud Platform infrastructure.


Apache HBase is an open-source, non-relational, distributed database modeled after Google's Bigtable, designed to provide random, real-time read/write access to big data.


Hadoop Distributed File System is a distributed, scalable, and portable file-system written in Java for the Hadoop framework, designed to scale up from single servers to thousands of machines.


Google Hangouts is a communication software that includes messaging, video chat, SMS, and VOIP features.


Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis, primarily providing SQL interface.


An open-source, native analytic database for Apache Hadoop, Impala provides high-performance, low-latency SQL queries on data stored in Hadoop Distributed File System.

Frequently asked questions about Data Observability

Does my data leave the premises?

No, Acceldata observes your data inline so it is highly scalable and secure.

What types of data can you manage?

We observe structured, unstructured and streaming datasets.

Do you provide recommendations?

Yes, we provide recommendations on data quality rules to use based on the data context and several others.

Do you support on-prem and cloud data?

Yes, we can observe data that’s on premises and in the cloud. This makes us ideally suited for cloud migration initiatives.

Can I customize data quality rules?

Yes, you can customize data quality rules and specify exactly where they apply.

Do you have RBAC?

Fine grained RBAC, each feature of ADOC can be accessed by users only if they have the required permissions. RBAC also extends to applicable API operations.

Ready to start your
data observability journey?