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® Innovation Insight: Data Observability Enables Proactive Cloud Data Quality
Prevent Reporting Delays from Data Inconsistencies
Data mismatches cost companies millions by delaying reports and reducing analytics accuracy by 30%.
Escape Costly, Manual Reconciliation Drains
Manual reconciliation can consume 2.25 million minutes annually—equal to 20 full-time employees.
Protect Compliance by Closing Data Gaps
Unresolved discrepancies expose organizations to penalties, with 60% of users doubting data reliability.
Drive Results with Reliable, Consistent Data
Ensure Revenue Integrity, Efficiency, and Compliance
Safeguard Revenue Integrity with Consistent, Accurate Data
Enable confident, revenue-driving decisions with high-quality, audit-ready data.
Instant Error Detection
Identifies data issues on the spot, cutting reporting delays by 50%.
Smart Matching with 98% Accuracy
Aligns critical data across sources, improving ARR forecasts and ensuring reliable financial reporting.
Transparent Audit Trails
Provides clear data lineage, instilling trust in financial reports.
Integrations
Integrated with all the tools you already use
Snowflake
A cloud-based data warehousing platform that separates storage and compute resources for scalability and flexibility.
Teradata
A fully scalable relational database management system produced by Teradata Corp, primarily used to manage large data warehousing operations.
Line
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.
Spark
Apache Spark is an open-source, distributed computing system used for big data processing and analytics, offering ease of use and speed.
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.
SingleStore
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
PostgreSQL
A powerful, open-source object-relational database system known for its proven architecture, reliability, and data integrity.
NiFi
Apache NiFi is an integrated data logistics and simple event processing platform for automating the movement of data between disparate systems.
Opsgenie
An incident management platform by Atlassian that ensures critical incidents are never missed, and actions are taken swiftly and effectively.
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.
Oracle
A powerful, object-relational database management system (ORDBMS) from Oracle Corporation, known for its scalability, reliability, and wide set of features.
OpenID
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.
Okta
An identity management platform providing secure identity management with Single Sign-On, Multi-factor Authentication, Lifecycle Management, and more.
ADLSV2
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.
Airflow
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.
Athena
A serverless, interactive query service by Amazon Web Services that makes it easy to analyze data directly in Amazon S3 using standard SQL.
AZURE SQL warehouse
Microsoft's cloud-based, scale-out database service that offers massively parallel processing for data warehousing.
BigQuery
Google's serverless and highly scalable data warehouse designed to make data analysts more productive with unmatched speed for SQL queries.
Databricks
An AI-driven, open-source platform with collaborative features for big data processing and machine learning.
DB2
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.
Emails
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.
Hangouts
Google Hangouts is a communication software that includes messaging, video chat, SMS, and VOIP features.
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.
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.
Hive
Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis, primarily providing SQL interface.
Impala
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.
Why Acceldata
Top reasons why enterprises choose Acceldata's Data Quality Platform
Comprehensive
Only Acceldata offers the breadth and depth of enterprise data quality tools required by modern data teams.
The Acceldata Data Observability platform includes comprehensive enterprise data quality frameworks, dashboards, and tools with multi-layer data insights across data assets, data pipelines, data infrastructure, and data users for data reliability, cost optimization, and infrastructure and pipeline performance management.
Enterprise-ready
Acceldata’s AI-driven automation and recommendations allow data teams to easily scale out their enterprise data quality coverage and continuously optimize data infrastructure.
Automated alerts and rich data quality, pipeline, and data infrastructure dashboards keep data teams apprised and help resolve problems quickly and efficiently.
Highly Automated
Acceldata provides you with top-notch automated enterprise data quality tools and frameworks to optimally scale your enterprise data quality and infrastructure to manage costs and data engineering resources.
Only Acceldata covers the diverse data faced by large organizations and can easily apply and execute data quality checks at an enterprise scale.
Designed for Data Teams
Acceldata is designed for enterprise data teams by delivering insights they need to work more effectively and ensure high ROI on data investments.
Acceldata eliminates data outages and fire-fighting and frees data teams to innovate on new data products.
Optimize Efficiency with Scalable, Automated Reconciliation
Reduce manual reconciliation work by up to 99.6%, freeing resources for high-impact initiatives.
Bulk Policy Creation at Scale
Reduces setup time by 90%, handling high-volume data effortlessly.
Cross-Platform Integration
Seamlessly connects with ERP, CRM, finance, and cloud systems to streamline workflows and reduce costs.
Real-Time Alerts for Quick Action
Proactively notifies teams to minimize delays and operational strain.
Ensure Compliance with Continuous Monitoring and Validation
Reduce compliance risks by up to 30% with audit-ready, policy-based data reconciliation.
Automated Compliance Checks
Regularly enforces data integrity and regulatory standards.
Transformation Validation Across Formats
Maintains data accuracy during format and schema updates, essential for compliance.
Adaptable Monitoring for Complex Environments
Scales with high-volume data, providing regulatory alignment across all systems.
Get a Personalized Demo
We’re excited to give you a personalized demo that will show you how to:
Reduce costs in your cloud data-warehouse by 30% or more
Improve data rules processing performance by more than 10X with automated data quality monitoring, data reconciliation and detection of schema drift, data drift and more
Reduce data costs and MTTR by 96% by monitoring data pipelines end-to-end, identifying and eliminating performance bottlenecks in data streaming, batch processing, queries, and other workloads
.webp)
