[go: up one dir, main page]

Introducing G2.ai, the future of software buying.Try now

Acceldata Features

What are the features of Acceldata?

Functionality

  • Monitoring
  • Alerting
  • Logging
  • Response Time
  • Reporting
  • Real-time Analytics
  • Data quality monitoring
  • Automation
  • End to End visiblity

Management

  • Anomaly identification
  • Single pane view
  • Real-time alerts
  • Data lineage
  • Integrations

Generative AI

  • AI Text Generation

Filter for Features

Functionality

Monitoring

Monitors database functionality to verify baselines are maintained or exceeded. This feature was mentioned in 12 Acceldata reviews.
82%
(Based on 12 reviews)

Alerting

Sends alerts via email, text, phone, and more when an incident or issue occcurs. 12 reviewers of Acceldata have provided feedback on this feature.
81%
(Based on 12 reviews)

Logging

Captures logs for all database functions to garner greater information around issues or failures. This feature was mentioned in 12 Acceldata reviews.
81%
(Based on 12 reviews)

Response Time

Monitors database query time for unusual execution times 12 reviewers of Acceldata have provided feedback on this feature.
83%
(Based on 12 reviews)

Reporting

Manually and/or automatically generates reports covering database performance 12 reviewers of Acceldata have provided feedback on this feature.
78%
(Based on 12 reviews)

Data Visualization

Follows database monitoring live information through graphical dashboards 11 reviewers of Acceldata have provided feedback on this feature.
83%
(Based on 11 reviews)

Identification

Correctly identify inaccurate, incomplete, or duplicated data from a data source. 10 reviewers of Acceldata have provided feedback on this feature.
92%
(Based on 10 reviews)

Correction

Utilize deletion, modification, appending, merging, or other methods to correct bad data. 10 reviewers of Acceldata have provided feedback on this feature.
75%
(Based on 10 reviews)

Normalization

As reported in 10 Acceldata reviews. Standardize data formatting for uniformity and easier data usage.
78%
(Based on 10 reviews)

Preventative Cleaning

Based on 10 Acceldata reviews. Clean data as it enters the data source to prevent mixing bad data with cleaned data.
78%
(Based on 10 reviews)

Data Matching

Finds duplicates using the fuzzy logic technology or an advance search feature.

Not enough data

Real-time Analytics

Based on 25 Acceldata reviews. Generate real-time depth analytics utilizing event metrics, logging and metadata.
80%
(Based on 25 reviews)

Data quality monitoring

As reported in 25 Acceldata reviews. Use custom or pre-built tests for buisness rules. to ensure data quality.
81%
(Based on 25 reviews)

Automation

As reported in 25 Acceldata reviews. Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.
81%
(Based on 25 reviews)

End to End visiblity

Based on 25 Acceldata reviews. Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.
83%
(Based on 25 reviews)

Management

Reporting

Based on 10 Acceldata reviews. Provide follow-up information after data cleanings through a visual dashboard or reports.
72%
(Based on 10 reviews)

Automation

Based on 10 Acceldata reviews. Automatically run data identification, correction, and normalization on data sources.
87%
(Based on 10 reviews)

Quality Audits

Schedule automated audits to identify data anomalies over time based on set business rules. This feature was mentioned in 10 Acceldata reviews.
90%
(Based on 10 reviews)

Dashboard

Based on 10 Acceldata reviews. Gives a view of the entire data quality management ecosystem.
80%
(Based on 10 reviews)

Governance

Allows user role-based access and actions to authorization for specific tasks. 10 reviewers of Acceldata have provided feedback on this feature.
83%
(Based on 10 reviews)

Anomaly identification

Identify the different type of anomalies and receive alerts. 23 reviewers of Acceldata have provided feedback on this feature.
84%
(Based on 23 reviews)

Single pane view

The data observability environment can be viewed from a single dashboard. 23 reviewers of Acceldata have provided feedback on this feature.
80%
(Based on 23 reviews)

Real-time alerts

Based on 23 Acceldata reviews. Provides immediate alerts for any anomalies or expected events.
83%
(Based on 23 reviews)

Data lineage

Establishes lineage for the data pipeline - from data warehouse to the data user. This feature was mentioned in 22 Acceldata reviews.
74%
(Based on 22 reviews)

Integrations

Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts. 23 reviewers of Acceldata have provided feedback on this feature.
80%
(Based on 23 reviews)

Data Management

Data Integration

Integrates data and data-related technologies into a single environment. 11 reviewers of Acceldata have provided feedback on this feature.
86%
(Based on 11 reviews)

Metadata

Provides metadata management capabilities. 11 reviewers of Acceldata have provided feedback on this feature.
79%
(Based on 11 reviews)

Self-service

Empowers the user via a self-service capability to manage data workflows. 11 reviewers of Acceldata have provided feedback on this feature.
86%
(Based on 11 reviews)

Automated workflows

Completely automates end-to-end data workflows across the data integration lifecycle. This feature was mentioned in 11 Acceldata reviews.
76%
(Based on 11 reviews)

Analytics

Analytics capabilities

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.

Not enough data

Dasboard visualizations

Collect and displays metrics across the data integration via a dashboard. 10 reviewers of Acceldata have provided feedback on this feature.
87%
(Based on 10 reviews)

Monitoring and Management

Data Observability

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.

Not enough data

Testing capabilities

Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

Not enough data

Cloud Deployment

Hybrid cloud support

Supports analytical platforms and data pipelines across complex hybrid environments.

Not enough data

Cloud migration capabilities

Supports migration of component or pipeline to different cloud environments.

Not enough data

Generative AI

AI Text Generation

As reported in 16 Acceldata reviews. Allows users to generate text based on a text prompt.
67%
(Based on 16 reviews)

AI Text Generation

Allows users to generate text based on a text prompt.

Not enough data

AI Text Summarization

Condenses long documents or text into a brief summary.

Not enough data

AI Text Generation

Allows users to generate text based on a text prompt.

Not enough data

AI Text Summarization

Condenses long documents or text into a brief summary.

Not enough data

Agentic AI - DataOps Platforms

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Not enough data

Multi-step Planning

Ability to break down and plan multi-step processes

Not enough data

Cross-system Integration

Works across multiple software systems or databases

Not enough data

Adaptive Learning

Improves performance based on feedback and experience

Not enough data

Decision Making

Makes informed choices based on available data and objectives

Not enough data

Agentic AI - Data Observability

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Not enough data

Multi-step Planning

Ability to break down and plan multi-step processes

Not enough data

Cross-system Integration

Works across multiple software systems or databases

Not enough data

Natural Language Interaction

Engages in human-like conversation for task delegation

Not enough data

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Not enough data

Agentic AI - Database Monitoring

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Not enough data

Multi-step Planning

Ability to break down and plan multi-step processes

Not enough data

Cross-system Integration

Works across multiple software systems or databases

Not enough data

Adaptive Learning

Improves performance based on feedback and experience

Not enough data

Natural Language Interaction

Engages in human-like conversation for task delegation

Not enough data

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Not enough data

Decision Making

Makes informed choices based on available data and objectives

Not enough data

Acceldata Comparisons
Product Avatar Image
Monte Carlo
Compare Now
Product Avatar Image
IBM Databand
Compare Now
Product Avatar Image
Metaplane
Compare Now
Product Avatar Image
Product Avatar Image