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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

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.

Prashanth. S

Director, Platform Engineering and Data Operations - Enterprise
Acceldata has been instrumental in enhancing our data platform management capabilities. Their solutions not only ensure platform stability but also drive significant cost savings.
Gartner market guide

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
Integrations

Integrated with all the tools you already use

See all integrations

Autosys

Guarantee high-quality visualized data in Tableau by monitoring data reliability and integrity, while enabling real-time processing and analytics.

Tableau

Guarantee high-quality visualized data in Tableau by monitoring data reliability and integrity, while enabling real-time processing and analytics.

Power BI

Maintain data quality and integrity for reliable insights and real-time analytics.

Teradata

Enhance data quality, pipeline reliability, and data integrity with continuous insights into your Teradata system.

Slack

Boost team collaboration by syncing real-time data alerts with Slack for instant notifications and quick issue resolution.

Snowflake

Elevate your Snowflake experience with reliable data quality and pipelines, improved performance, at reduced costs.

SingleStore (MemSQL)

Enhance the quality and integrity of visualized data, ensuring reliable real-time processing and analytics.

ServiceNow

Automate incident resolution by syncing real-time data issues with ServiceNow for faster, more effective management.

SingleStore

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

SFTP connector

Facilitate secure file transfers, automate data ingestion, and enhance workflow efficiency through streamlined connectivity.

SAP Hana

Ensure SAP HANA data quality with format validation, timeliness checks, anomaly detection, and referential integrity for accurate, robust outputs.

Presto/Trino

Monitor and ensure data reliability in Presto/Trino with comprehensive quality checks and real-time observability for accurate insights.

Oracle

Obtain insights into your Oracle RDBMS to enhance data quality, pipeline reliability, and data trustworthiness.

PagerDuty

Streamline alerts and incident response by syncing real-time data and pipeline issues for rapid, effective resolution.

PostgreSQL

Achieve real-time data visibility and improved quality for better decision-making and reduced costs.

Opsgenie

Enhance incident management by syncing real-time data issues for faster, more effective resolution and coordination.

AWS Kinesis

Monitor and ensure data quality in Kinesis streams with real-time visibility and reliability checks for seamless data processing.

AWS Secret Manager

Securely manage database credentials and API keys, enhancing data security and access control.

Airflow

Enhance orchestration and workflow management with reliable data quality and smooth, uninterrupted data pipelines.

Alation

Operationalize your data catalog by integrating quality checks, lineage tracking, and automated management with Alation.

Amazon Athena

Unlock real-time insights, enhanced query performance, and superior data quality for efficient analytics and decision-making.

Amazon Aurora MySQL

Boost data reliability with comprehensive quality checks and continuous monitoring.

Amazon Aurora PostgreSQL

Optimize data reliability by integrating comprehensive quality checks and real-time monitoring for enhanced integrity.

Amazon MWAA

Streamline workflow orchestration by automating data pipeline monitoring and ensuring data quality across managed Airflow environments.

Amazon RDS MariaDB

Ensure data reliability in MariaDB by leveraging comprehensive quality checks and real-time monitoring.

Amazon RDS MySql

Improve data reliability and integrity in Amazon RDS MySQL with robust monitoring and effective management.

Amazon RDS PostgreSQL

Ensure data reliability and integrity across scalable relational databases in the AWS cloud with robust monitoring in Amazon RDS PostgreSQL.

Amazon Redshift

Ensure effective analytics and accurate decisions with real-time visibility, optimized performance and superior data quality.

Amazon S3

Gain full visibility into your cloud storage with real-time monitoring, ensuring data accuracy and integrity.

Apache HBase

Accelerate insights and make informed decisions with streamlined data management, efficient infrastructure and reliable data.

Apache HDFS

Enhance data observability by leveraging Apache HDFS for optimal data quality and performance.

Apache Hive

Accelerate insights and decisions with streamlined data management, efficient infrastructure and reliable data.

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