5 Hottest Startups Offering Big Data As a Service Solutions

Big data as a service (BDaaS) is the big trend we are going to experience in the coming years. BDaaS is all set to grow at a substantial pace and it will change the perspective of how we look at the industry today and especially it will change the traditional methods and solutions of handling an enormous amount of data.

Quick Fact: One of the biggest market reporting website – “marketsandmarkets” has estimated the Global Big Data As a service (BDaaS) market size to grow from $11.3 Billion in 2019 to $42.7 Billion by 2024 and that is 30.5% Compound Annual Growth Rate (CAGR).

So what is Big Data as a service?

BDaaS offers a cloud-based big data service to help organizations deal with an immense amount of data to solve their business dilemmas. BDaaS involves using statistical solutions and information provided by an outsider to gain insights from huge data to solve data-related problems for organizations.

How to choose the best Big Data-As-A-Service provider?

For those who are looking to adopt and bring the power of big data into their organizations, here are a few points you need to consider before choosing the service provider.

• Free Trial: Go for a vendor or a provider that offers a free trial so in theory, you could see the results without spending even a dime of your money.
• Look for scalability options: Your organization’s solutions and projects are not limited and Big data projects have a tendency to grow in size beyond the initial phase. So it’s always best to answer this – if you can easily afford to buy more storage and processing resources as you grow ahead?
• Real-time analysis and feedback: Feedbacks are critical for any business and today most of the big data vendors provide real-time analysis and insights on what happened today and what was happening a week ago. Using this information, it’s just a matter of time that you’ll make good decisions and take suitable actions to help grow your business.
• Data locality: Moving your big data to the cloud can be a risky and timely process, especially when you’re just starting out. Some vendors leverage the public cloud infrastructure environment and ecosystem of compatible products while others require you to move data to the vendor’s data storage. So before deciding where and when to put the data, you need to think about compatible tools, data ownership, and vendor lock-in risks.
• Organisation’s need: The very first step in choosing Big data as a service provider is to locate and identify your organization's needs. You need to think in terms of managing, capturing, and analyzing data. Various organizations have large unstructured data while others have primarily structured data with traditional database solutions. So what kind of category your organizations fall into? – Based on that only you can determine exactly what kind of big data functions and solutions are needed for your business.

Based on our research – here is the exclusive listing of the top 5 amazing start-ups offering Big Data-As-A-Service solutions.

1. Xplenty
2. Okera
3. Equalum
4. Atlan
5. Rivery

Xplenty

About Xplenty

Xplenty is easy-to-use, cloud-based, data ingestions & integration service company. It is acquired by Xenon Ventures on Dec 18, 2018. Xplenty is on top of the list because of its intuitive drag and drops feature and zero-coding experience. With Xplenty it’s easy to manage, move, process, and transform a massive amount of data.

Xplenty offers out-of-the-box scalability and elasticity, which helps in processing a billion records per hour. Both structured and unstructured data can be processed by Xplenty and there are plenty of integrations and cloud storage services.

Features

• Easy data transformations
• User-friendly interface
• Xplenty’s API for advanced customization
• Simple workflow creation for defining dependencies between tasks
• Low-code and no-code creation interface
• Rest API to connect to any data source
• Integrations with a variety of SaaS platforms
• Salesforce to Salesforce integrations
• Cutting-edge data security and compliance
• Diverse data source and data destinations options.

Okera

About Okera

Okera is one of the industry-leading platforms for tackling the hardest issues behind data access & governance across multi-cloud & hybrid environments. Okera uses multi-cloud platforms such as AWS and Azure to enable data customers, stewards, and owners to unlock the power of their data for innovation & growth.

Okera has the capability to automatically detect and audit data lakes, and create access policies using its visual policy engine.

Features

• Fine-Grained access controls
• Heterogenous by designs
• Detailed Auditability
• Deletion management
• Data migration & Data security
• Dynamic Tokenization
• Simplicity of operations
• Scalability
• Data profiling
• Data analysis & information governance

Equalum

About Equalum

Equalum is the fastest-growing start-up based in Israel. They provide real-time data analytics, seamlessly stream data for operations, and machine learning environments.

Equalum is one of the fastest data ingestion platforms that harness the power of cutting-edge technologies such as Apache, Spark, and Kafka. Their powerful open-source frameworks and zero coding approach with intuitive designs are helping organisations rapidly accelerate their businesses.

Features

• Enterprise-grade
• Infinite speed & scalability
• Seamless ecosystem integration with minimum overhead
• Autonomous data exploration
• Self-service & zero coding
• Batch & stream data processing
• Robust data transformations & manipulations
• Flexible deployment with a platform-agnostic architecture

Atlan

About Atlan

Atlan is a big data analytics company that helps businesses and data teams to seamlessly execute data projects and allowing them to truly democratize both external and internal data while automating repetitive tasks.

Atlan has its spread over 50 countries while delivering its services to more than 200 teams. It has some out-of-box integrations including Amazon redshift, Amazon azure, snowflake, Google cloud, and Power BI. Atlan’s customer’s report shows up to 60x speed to insights, and 70% greater business engagement within 2 weeks. They also provide a free trial that includes Atlan starter & Atlan premier packs.

Features

• Quick deployment
• Open Architecture
• Auto classification of PII
• Monitoring alerts & notifications
• Downstream integrations
• Custom quality data checks
• Data quality dashboards
• Scheduled quality audits
• Automated data quality & profiling
• Modern data catalogue & discovery

Rivery

About Rivery

Rivery is intuitive data ingestion & data integration platform that takes care of everything starting from aggregating data and transforming all external and internal data sources and data platforms into cloud-based solutions.

Rivery is a real-time data pipeline for your business and now you can automate ETL pipeline for cloud data warehouses, including Azure, Big Query, SnowFlake, and RedShift.

Features

• Data Management
• Support for multiple data sources
• Version control
• Match & Merge
• Document extraction
• Data filtering & data integration
• Data migration & data analysis
• Non-relational transformations

Conclusion

So this was the comprehensive list of the top 5 most popular data analytics companies providing Big data services at their best.

So what about other plenty of solutions in the market?

While we believe that data is key to get better insights, our ambition is to create detailed and most actionable intelligence for your businesses. The 5 startups showcased above are the most promising examples from plenty of sharks in the ocean, we analyzed for this article.