Databricks
Google BigQuery
Looker
Jupyter
Presto DB
Rakam
Informatica
Concurrent
Datacoves
dbt
Mozart Data
dataloader.io
CData Sync
Helpful Sync
Invantive Data Loader
Data Loader
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. Datacoves also offers managed Airbyte, Datahub, and Superset.
Databricks DatacovesDatacoves'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.
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.
Datacoves's answer:
Mid to Large size companies who value doing things well.
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.
Datacoves's answer:
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.
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.
Based on our record, Databricks should be more popular than Datacoves. It has been mentiond 18 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.
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / 9 months ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 2 years ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 3 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 3 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 3 years ago
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 2 years ago
Check out datacoves.com more flexibility. Source: about 2 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
dbt - dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Mozart Data - The easiest way for teams to build a Modern Data Stack
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
dataloader.io - Quickly and securely import, export and delete unlimited amounts of data for your enterprise.