You retrieve data from different environments, stored in several data silos, and you can never be entirely certain of not breaching privacy policies. Some data may be even unreachable for you, due to insanely complicated and differing rules and regulations.
And as if that weren’t troubling enough, do you spend valuable time familiarizing yourself with various highly unattractive technology stacks to get all tasks done to your satisfaction?
Heterogeneity demands intelligent solutions. It’s not only strenuous to use several big data processing systems, but it’s also unnecessarily complicated to move and transform your data into a desired format for centralized data lakes.
You always struggle to meet deadlines when providing time-relevant data to less tech-inclined parties?
As a matter of fact, heterogeneous data needs intelligent systems and need a lot of your daily work routine to be fully homogenized and readable. Different coding languages and illogically designed platforms make your routines challenging.
Now, we all like a good challenge, right? Right. But, we also like efficiency and logical patterns that allow the best use of our limited time on this planet.
You need data available at any time, but in a decentralized fashion, maximizing performance and data insights, while respecting everyone’s privacy. Sometimes it feels like a walk on a tightrope, and you feel like you can confidently fulfill one of these tasks, but hardly all of them.
Focus on your real job
Instead of having to prepare, clean, deduplicate and feed your data to intelligent systems before starting the analytics, with Blossom, you bring the intelligence to the data lakes directly. Hence, you will no longer have to deal with the heterogeneity of such systems, thanks to your able assistant Blossom.
You just code your applications on top of Blossom, and Blossom takes care of any required data movement and transformation. Thus, it provides you with the freedom to build your data driven idea and enables you to focus on the logic computation of your data analytics.
Benefit from decentralized processing performance
You need to perform a query over multiple datasets, stored in different formats? Well, good luck! The extent of transform the data to perform disparate queries is not only a back-breaking and highly time-consuming job, but also dangerously error-prone.
Blossom not only breaks up such complex analytics, but also selects the right data format to execute each query for you. Invisible to its users, Blossom kindly complements the capabilities of data processing platforms with each other, thereby enabling them to perform complex analytics.
- by breaking data silos in a unified manner through a single system view
have all your data easily accessible in one data mesh platform
- by running analytics on any and over several cloud(s) and data formats
Build your data model once, run it anywhere
The pursuit of achieving high performance led to almost all of today’s applications being tied to one specific platform. Not surprisingly, frequent migrations to newer and more efficient platforms and formats are a necessary consequence.
The Blossom Data Mesh Platform (DMP) runs your applications on any arbitrary data processing platform without being tied down.
Sounds good? Well, it gets even better: In addition, Blossom frees you from the burden of selecting the most effective data format for a given task.
You simply plug into our API once and the applications on top of Blossom immediately run on new platforms, allowing you to keep up with state-of-the-art technology, effortlessly!
save time and resources by achieving resilience and viable results quicker, even with limited databases.
Break data silos truly and once for all
enabling you to compute data from various different sources, formats and systems.
Multi-cloud execution provides you with options you choose
=> Cloud native: users can run Blossom as a Service => Standalone software: users can download and install Blossom on their local machines or compute clusters.
Efficient visual Big Data query composition
queries are easily composed visually or programmatically and submitted by a single click or command line.
Data compliance over multiple data lakes
enjoy highly heterogeneous data in a homogenized and easy-to-read format, always respecting privacy policies.
Intelligent cross-platform analytics
it automatically decides the best data processing platform to use to run data analytics.
AI advisor for query composition
assisting you in achieving a more reliable and accurate outcome fast.
Why other users love Blossom
“Love the automated determination and training of source data. Support for multicloud with a single tool. Low code and easy to integrate.”
Shaima H., MLOps
“What I like the most about this platform is its ease of use. One has to only express thebusiness logic within its API, and then the platform optimizes for the underlyingsystem usage. This way, one does not need to implement system-specific details.”
Haralampos G., Research Associate
"Blossom supports a wide array of data processing platforms. Seamless data analyticsacross sources. Easy to integrate into existing applications.”
Kaustubh B., Senior Data Analyst
Gaining insights from our data with Blossom "Blossom provides a middleware to run any data flow task on different platforms.I could execute my spark job on Flink by changing only one line of code. I also liked a lot the optimizer that can select the platform based on a cost model."
“Wayang is a Java library typically used in Big Data applications. Incubator-wayang has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License, and it has low support. You can download it from GitHub. In contrast to traditional data processing systems that provide one dedicated execution engine, Apache Wayang (incubating) is a cross-platform data processing system: Users can specify any data processing application using one of Wayang's APIs and then Wayang will choose the data processing platform(s), e.g., Postgres or Apache Spark, that best fits the application.”
kandi X-RAY (about Wayang, the API for Big Data)
“Execution of the application is specified in a logical plan which is again platform-agnostic. Wayang will transform the logical plan into a set of physical operators to be executed by specific underlying processing platforms.Wayang selects which platform(s) will run our application. It has numerous capabilities whereby cost functions and load estimators can be used to influence and optimize how the application is run. For our simple example, it is enough to know that even though we specified Java or Spark as options, Wayang knows that for our small data set, the Java streams option is the way to go.”
The Apache Software Foundation
Empowering enterprises around the world with responsible AI.
Who is Databloom?
We are a remote company with an open policy, putting people first. Our products not only enable and improve the data-driven economy, but also help our customers to achieve their own goals.
Alexander and Jorge first met back at Cloudera. The research papers, written by Jorge and his collaborators , lead to the research of distributed big data processing, and finally to the first in-memory query engine for Apache Hadoop.
Jorge and his collaborators at QRCI and HPI started investigating the topic of Meshed Data Processing and distributed data management.
The team around Jorge developed Rheem, the first data mesh controller, and presented the software stack at the Spark Summit 2017, followed by multiple conferences.
Jorge and Alexander met again and they both realized the huge potential of joining forces, and agreed to found a company to bring this technology to market. From that point on, they bootstrapped the further development with the mission to build the most comprehensive data mesh platform.
In 2022, the team founded DataBloom AI, Inc. in the United States to deal with the increased interest around the Bay Area, Florida and Texas.
Members of our team are frequent speakers at large conventions and meetups, like newWork summit, SXSW, Big Data World, Apache Con, BOSS, Developer Week, etc.
The future of intelligent data analytics is here
The time to work with utmost efficiency, making the most of data analytics has arrived. Uncomplicated and reliable.
Save yourself time and headaches by using the best little helpers available. Always be one step ahead by using the mind-blowing capabilities of Blossom and leave competitors speechless.
On point, on time Sweating over tasks that are mere vehicles to arrive at the actual job is not only time-consuming, but also frustrating. Getting to the point where your valuable expertise is necessary and put to use should be quick, sweat-free and as automated as possible.
Blossom serves as that support you need to deliver your best performance. Now, click the button below to experience all of Blossom’s amazing features in a quick, free tour!