Software Alternatives, Accelerators & Startups

Datacoves VS Upsolver

Compare Datacoves VS Upsolver and see what are their differences

Datacoves logo Datacoves

Managed dbt-core, VS Code in the browser, and Managed Airflow

Upsolver logo Upsolver

Upsolver is a robust Data Lake Platform that simplifies big & streaming data integration, management and preparation on premise (HDFS) or in the cloud (AWS, Azure, GCP).
  • Datacoves Landing page
    Landing page //
    2023-05-17

The Datacoves platform helps enterprises overcome their data delivery challenges quickly using dbt and Airflow, implementing best practices from the start without the need for multiple vendors or costly consultants.

  • Upsolver Landing page
    Landing page //
    2023-08-06

Datacoves

Pricing URL
-
$ Details
paid Free Trial
Platforms
Dbt Airflow Snowflake Databricks
Release Date
2021 August

Datacoves features and specs

  • Data Extract and Load: Airbyte, Fivetran, Python
  • dbt Development: VS Code, Sqlfluff, dbt-checkpoint, data preview, etc
  • Documentation: Hosted dbt docs for Development and Production
  • Orchestration: Hosted Airflow on Kubernetes
  • DataOps: Github, Gitlab, Bitbucket, Jenkins
  • BI: Superset, Tableau, PowerBI, Qlik, Looker
  • Hosting Options: SaaS or Private Cloud deployment

Upsolver features and specs

No features have been listed yet.

Datacoves videos

Demo and Interview by Demohub

More videos:

  • Review - Query Preview in Datacoves

Upsolver videos

No Upsolver videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Datacoves and Upsolver)
Data Integration
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Web Service Automation
100 100%
0% 0
Online Services
0 0%
100% 100

Questions and Answers

As answered by people managing Datacoves and Upsolver.

What makes your product unique?

Datacoves's answer

We provide the flexibility and integration most companies need. We help you connect EL to T and Activation, we don't just handle the transformation and we guide you to do things right from the start so that you can scale in the future. Finally we offer both a SaaS and private cloud deployment options.

Why should a person choose your product over its competitors?

Datacoves's answer

Do you need to connect Extract and Load to Transform and downstream processes like Activation? Do you love using VS Code and need the flexibility to have any Python library or VS Code extension available to you? Do you want to focus on data and not worry about infrastructure? Do you have sensitive data and need to deploy within your private cloud and integrate with existing tools? If you answered yes to any of these questions, then you need Datacoves.

How would you describe your primary audience?

Datacoves's answer

Mid to Large size companies who value doing things well.

What's the story behind your product?

Datacoves's answer

Our founders have decades of experience in software development and implementing data platforms at large enterprises. We wanted to cut through all the noise and enable any team to deploy an end-to-end data management platform with best practices from the start. We believe that having an opinion matters and helping companies understand the pros and cons of different decisions will help them start off on the right path. Technology alone doesn't transform organizations.

Who are some of the biggest customers of your product?

Datacoves's answer

  • Johnson & Johnson
  • Janssen
  • Kenvue
  • Orrum

User comments

Share your experience with using Datacoves and Upsolver. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Datacoves and Upsolver

Datacoves Reviews

  1. All the data tools you need to run a world class team in one place

    I manage analytics for a small SaaS company. Datacoves unlocked my ability to do everything from raw data to dashboarding all without me having to wrangle multiple contracts or set up an on-prem solution. I get to use the top open source tools out there without the headache and overhead of managing it myself. And their support is excellent when I run into any questions.

    Cannot recommend highly enough for anyone looking to get their data tooling solved with a fraction of the effort of doing it themselves.

    ๐Ÿ Competitors: Keboola
    ๐Ÿ‘ Pros:    Quick and easy implementation|Scalable|Easy to use
    ๐Ÿ‘Ž Cons:    Small company
  2. Best-in-class open-source tools for the modern datastack, seamlessly integrated

    The most difficult part of any data stack is to establish a strong development foundation to build upon. Most small data teams simply cannot afford to do so and later pay the penalty when trying to scale with a spaghetti of processes, custom code, and no documentation. Datacoves made all the right choices in combining best-in-class tools surrounding dbt, tied together with strong devops practices so that you can trust in your process whether you are a team of one or a hundred and one.

    ๐Ÿ‘ Pros:    Powerful development environments|Seamless|Great customer support

Upsolver Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
In this way, Upsolver removes the complexity of Big Data and Real-Time projects and reduces their use time from several weeks or months to several hours. With the latest Volcano technology, this tool queries the entire data lake in less than a millisecond and stores 10x the amount of data in RAM.
Source: visual-flow.com

Social recommendations and mentions

Based on our record, Datacoves should be more popular than Upsolver. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Datacoves mentions (2)

  • What are your thoughts on dbt Cloud vs other managed dbt Core platforms?
    Dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow. Source: about 1 year ago
  • dbt Core + Azure Data Factory
    Check out datacoves.com more flexibility. Source: about 1 year ago

Upsolver mentions (1)

  • Anyone Used Dremio?
    Most of the pains of using query engines over object storage are in the ongoing management of files (partitioning, compression, merging many small files into fewer larger files) Cloud data lakes are tremendously valuable when it comes to exploratory and ad-hoc data analysis. If you really require sub-second queries on structured data, you're better off with a data warehouse. I'm not totally clear on your use... Source: over 2 years ago

What are some alternatives?

When comparing Datacoves and Upsolver, you can also consider the following products

dbt - dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.

Lyftrondata - Lyftrondata is an end-to-end data delivery platform, providing the right digital transformation having rapid automation and optimizations in place, so one can do better management of their inventory.

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

Kylo - Kylo is an end-to-end data lake management software that provides data from many sources in an automated fashion and optimizes it.

CData Sync - Straightforward data synchronizing between on-premise and cloud data sources with a wide range of traditional and emerging databases.

IRI Voracity - IRI Voracity is an automated data management platform that helps you extract, transform and load (ETL) your data lake to any data warehouse or cloud.