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Acceldata Wins InfoWorld’s 2023 Technology of the Year Award
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ALL-IN-ONE ENTERPRISE DATA OBSERVABILITY

Observe Data 

Pipelines

Drift

Quality

Anomalies

Spend

Users

Infrastructure

Models

Performance

Privacy

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

Request a Demo

TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

YOUR ENVIRONMENT


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


ACCELDATA IS THE MOST COMPLETE ENTERPRISE DATA OBSERVABILITY SOLUTION

Cloud or on-premises, all data stacks, all data types, comprehensive
integrations, petabyte scale
YOUR PIPELINES


OBSERVE YOUR PIPELINES AND STOP FAILURES

Hard to monitor pipeline failures manually?  Acceldata’s shift-left approach
monitors pipelines from landing zone to consumption
Automatically discover and map your pipeline flows for all data types
Identify errors such as ingestion, processing, missing data, reconciliation, and
more
Set alerts and thresholds and use automated anomaly detection
Learn more

YOUR Data


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

YOUR Costs


CONTROL COSTS WHILE GROWING DATABRICKS & SNOWFLAKE ADOPTION

Stop unexpected and runaway costs as you scale your cloud data environments
Apply circuit breakers & alerts to prevent bad surprises
Identify & improve poor performing queries
Implement accurate chargeback across multiple data factories and organizations
Learn more

THE FUTURE


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
METRICS


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.
500B+
Rows of data
95%
Reduction in data quality issue resolution time
600+
Data quality rules applied inline
Get Started

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

Read Story

See all case studies


Integrations


INTEGRATED WITH ALL THE TOOLS YOU ALREADY USE

See all integrations

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.

AZURE SQL WAREHOUSE

Microsoft's cloud-based, scale-out database service that offers massively
parallel processing for data warehousing.

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.

BIGQUERY

Google's serverless and highly scalable data warehouse designed to make data
analysts more productive with unmatched speed for SQL queries.

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.

DATABRICKS

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

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.

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.

HANGOUTS

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

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.
Blog


READ OUR LATEST ARTICLES AND RESOURCES

Explore more
Preeti Kodikal
Data Observability

INVESTING IN DATA OBSERVABILITY IS CRITICAL FOR HIGHLY REGULATED INDUSTRIES

January 9, 2024

10 Min Read
Acceldata Product Team
Data Quality & Reliability

DATA TEAMS NEED INSIGHTS THAT DATA QUALITY ALONE CAN’T PROVIDE

December 4, 2023

10 Min Read
Acceldata Product Team
Data Observability

WHY IS BAD DATA MAKING GLOBAL HEADLINES?

November 8, 2023

10 Min Read
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.




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DATA OBSERVABILITY JOURNEY?

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Enterprise data observability for the modern data stack


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