All-in-One Enterprise Data Observability

Gain Comprehensive insights into your data stack to improve data quality, pipeline reliability, platform performance, and spend efficiency.

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Acceldata All-in-One Enterprise Data Observability

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Saisharan C

Technical Architect, Enterprise

With its powerful features and dependable performance, Acceldata is an essential addition to any enterprise tech stack seeking to enhance data observability.

Ankit B.

Senior Technical Lead - Enterprise

We are using power of Acceldata for our data quality issues. Its integration is simple and we are able to identify various data quality issues quite easily.

Timothy C.

Senior Expert of Data Governance - Enterprise

Acceldata has opened quite a few doors for us at Nestle. We have started with the Data Reliability features of the product and moved into the Cloud/Cost Optimization aspects.

Jayanth Reddy G.

Senior DevOps Engineer - Enterprise

This combination of usability, seamless integration, and robust features makes Acceldata a powerful tool for enhancing data reliability and performance.

Mark. H

Manager Data Warehouse Operations - Enterprise

Onboarding our data into Acceldata was very quick and simple. Within 24 hours all production data was loaded and trends were easily established.

Chidambararajan M.

IT Consultant - Enterprise

Acceldata is giving the better quality checks for the data sources and the maintenance of the environment is good.

Gartner® Market Guide for Data Observability Tools

Access Report

How it Works

Connect Data Sources

Connects to over 70 data sources spanning your entire data stack. Automatically builds pipeline maps by reading metadata and other heuristics

Turn on Policies

Select from over 100 out of the box policies or create your own custom policies, events, and rules.

Observe & Improve

Get alerted, automate actions and continue improving your data operations to deliver complete trust in your data.

Why are we different?

We have the most comprehensive data observability platform for the modern enterprise.

All-in-One

Feature rich, simple to use, addresses all your observability needs including data quality, data drift, schema drift, reconciliation, pipeline monitoring, infrastructure monitoring, FinOps, plus many more.

Shift Left Data Observability

Unlike approaches that only focus on the consumption zone, Acceldata Integrates observability into the data pipeline and data infrastructure from the initial landing zone to consumption. Shift-left provides up to 38x reduction in the cost of bad data.

Petabyte Scale Data

Acceldata’s unique data plane architecture, horizontal scalability, in-memory processing and other techniques enable enterprises to process billions of rows of data, checked in-line against multiple business rules and policies, ensure that enterprises can confidently implement Acceldata at scale.

Cloud and On-Premises Data

Single platform regardless of data stack location - on-premises, in the cloud or a mix of both. Acceldata architecture presents a single pane of glass for hybrid data and pipelines. (See all integrations)

AI Assisted

Detect anomalies using built in AI algorithms, rapid or cold start by applying basic rules and policies based on data types and usage and many more capabilities to assist enterprise observability initiatives.

Enterprise Class Security

Security is paramount. SOC2 Type 2 certification, audit logs, IP-based access controls, MFA, RBAC, SAML, bug bounty programs and several other security initiatives in place to provide a highly secure offering. Multiple large enterprises have performed the most rigorous security reviews.

FAQ

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.

Architected for Modern
Data Teams

Gain intelligence and achieve your outcomes faster

Data Executive

Platform Engineer

Data Engineer

Database Admin

FinOps Practitioner

Integrations

Integrated with all the tools you already use

See all integrations

Tableau

Tableau is a visual analytics platform that transforms data into interactive dashboards, empowering users and organizations to solve problems and gain actionable insights.

Power BI

Microsoft Power BI is a data visualization platform that helps businesses analyze and visualize data, transforming it into insights through a collection of software tools and connectors.

Teradata

A fully scalable relational database management system produced by Teradata Corp, primarily used to manage large data warehousing operations.

Slack

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.

Snowflake

A cloud-based data warehousing platform that separates storage and compute resources for scalability and flexibility.

SingleStore (MemSQL)

A distributed, relational database that delivers high performance, scalability, and concurrent transactions across a unified database.

ServiceNow

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

SingleStore

A distributed, relational database that delivers high performance, scalability, and concurrent transactions across a unified database.

SFTP connector

An SFTP connector enables secure file transfers between systems using the SFTP protocol, allowing for encrypted data exchange and integration.

SAP Hana

SAP HANA is an in-memory database platform that provides real-time data processing and analytics for complex and high-speed business operations.

Presto/Trino

Presto (Trino), formerly known as PrestoDB and PrestoSQL, is an open-source, distributed SQL query engine designed for high-performance queries on large datasets across various sources.

Oracle

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

PagerDuty

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.

PostgreSQL

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

Opsgenie

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

OpenTelemetry

OpenTelemetry is an open-source framework for collecting, processing, and exporting telemetry data like traces, metrics, and logs.

AWS Glue

AWS Glue is a serverless data integration service that simplifies discovering, preparing, moving, and integrating data from multiple sources for analytics.

AWS Kinesis

Amazon Kinesis is a family of AWS services for processing and analyzing large amounts of streaming data in real time, enabling quick and efficient data handling.

AWS Secret Manager

AWS Secrets Manager is a service that securely manages, rotates, and retrieves secrets like API keys and database credentials for applications and IT resources.

Airflow

An open-source platform to programmatically author, schedule, and monitor workflows.

Alation

Alation is a data intelligence platform helping users find, understand, and trust data, widely used by banks, retailers, and government agencies.

Amazon Athena

A serverless, interactive query service by Amazon Web Services that makes it easy to analyze data directly in Amazon S3 using standard SQL.

Amazon Aurora MySQL

Amazon Aurora MySQL is a managed relational database service compatible with MySQL, offering high performance, scalability, and availability within AWS RDS.

Amazon Aurora PostgreSQL

Amazon Aurora PostgreSQL is a managed relational database engine compatible with PostgreSQL, offering high performance and scalability as part of AWS RDS.

Amazon MWAA

Amazon Managed Workflows for Apache Airflow (MWAA) is a managed service that helps users orchestrate and scale data processing workflows in the cloud.

Amazon RDS MariaDB

Amazon RDS for MariaDB is a managed service that simplifies setting up, operating, and scaling MariaDB databases in the cloud, offering scalable, cost-efficient deployments with resizable hardware.

Amazon RDS MySql

Amazon RDS for MySQL is a fully managed, cloud-based service that simplifies the setup, operation, and scaling of MySQL, the world's most popular open-source database.

Amazon RDS PostgreSQL

Amazon RDS for PostgreSQL is a managed database service that automates setup, operation, scaling, and maintenance of PostgreSQL deployments in the cloud.

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.

Apache HBase

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.

Apache HDFS

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.

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