Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Budgyt Reviews & Ratings
    4.8 out of 5 stars 291 Ratings
    Company Website for Budgyt
  • Couchbase Reviews & Ratings
    4.4 out of 5 stars 418 Ratings
    Company Website for Couchbase
  • DbVisualizer Reviews & Ratings
    4.8 out of 5 stars 593 Ratings
    Company Website for DbVisualizer
  • TIMi Reviews & Ratings
    4.9 out of 5 stars 68 Ratings
    Company Website for TIMi
  • Google Cloud Platform Reviews & Ratings
    4.5 out of 5 stars 61,092 Ratings
    Company Website for Google Cloud Platform
  • Google Cloud BigQuery Reviews & Ratings
    4.5 out of 5 stars 2,037 Ratings
    Company Website for Google Cloud BigQuery
  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • Retool Reviews & Ratings
    4.6 out of 5 stars 608 Ratings
    Company Website for Retool
  • Google Cloud SQL Reviews & Ratings
    4.5 out of 5 stars 554 Ratings
    Company Website for Google Cloud SQL
  • Synchredible Reviews & Ratings
    4.8 out of 5 stars 30 Ratings
    Company Website for Synchredible

What is Tobiko?

Tobiko is an innovative data transformation platform aimed at speeding up data delivery while improving efficiency and reducing errors, all while ensuring compatibility with current databases. It empowers developers to establish a development environment without the hassle of reconstructing the entire Directed Acyclic Graph (DAG), as it intelligently adjusts only the components that need modification. When a new column is introduced, there's no need to rebuild everything; your previous changes remain intact. Tobiko facilitates immediate promotion to production without requiring you to redo earlier work, streamlining the deployment process. Additionally, it alleviates the difficulties associated with debugging intricate Jinja templates, allowing you to define your models directly in SQL. Suitable for both startups and large corporations, Tobiko adapts to the varying demands of any organization. It understands the SQL you write and boosts developer productivity by detecting potential issues during the compilation phase. Furthermore, detailed audits and data comparisons provide essential validation, ensuring the integrity of the generated datasets. Each adjustment is meticulously assessed and classified as either breaking or non-breaking, offering insight into the effects of changes. If errors arise, teams can effortlessly revert to prior versions, significantly reducing production downtime and ensuring operational stability. This integration of various features positions Tobiko not only as a data transformation tool but also as a valuable collaborator in creating a more efficient development ecosystem, ultimately fostering innovation and agility across projects.

What is Bigeye?

Bigeye is a powerful data observability tool that enables teams to evaluate, improve, and clearly communicate the quality of data at every level. When a data quality issue results in an outage, it can severely undermine an organization’s faith in its data reliability. By implementing proactive monitoring, Bigeye helps restore that confidence by pinpointing missing or erroneous reporting data before it escalates to the executive level. It also sends alerts about potential issues in training data prior to the retraining of models, thus reducing the pervasive uncertainty that often stems from the assumption that most data is typically accurate. It's crucial to understand that the statuses of pipeline jobs may not provide a comprehensive view of data quality; hence, ongoing monitoring of the actual data is vital for confirming its readiness for use. Organizations can monitor the freshness of their datasets to ensure that pipelines function correctly, even during ETL orchestrator disruptions. Moreover, users can observe changes in event names, region codes, product categories, and other categorical data, while also tracking variations in row counts, null entries, and empty fields to ensure that data is being correctly populated. This meticulous approach allows Bigeye to uphold high data integrity standards, which are essential for delivering trustworthy insights that inform strategic decision-making. Ultimately, the comprehensive visibility provided by Bigeye transforms how organizations engage with their data, fostering a culture of accountability and precision.

Media

Media

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Snowflake
Apache Airflow
Dagster
Jinja
Prefect
SQL

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Snowflake
AWS CloudFormation
Alation
Amazon Athena
Amazon Web Services (AWS)
MySQL
PagerDuty
PostgreSQL
Presto
Slack
Sudozi

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Tobiko

Company Location

United States

Company Website

tobikodata.com

Company Facts

Organization Name

Bigeye

Company Location

United States

Company Website

www.bigeye.com

Categories and Features

Data Management

Not specified

Database

Not specified

Categories and Features

Data Observability

Not specified

Observability

Not specified

Popular Alternatives

Popular Alternatives

DataBuck Reviews & Ratings

DataBuck

FirstEigen
4.8 out of 5 stars