Powering Predictive Applications

Hybrid RDBMS | ANSI SQL | ACID Transactions | Real-time Analytics

More than a Database

Splice Machine is a platform for predictive applications that manage operational processes, large-scale IoT infrastructures, and use analytical processing and machine learning to improve over time.

Hybrid RDBMS

Support OLTP and OLAP. No need to run multiple systems and high-latency, error-prone ETL processes

ANSI SQL

ANSI SQL / ACID transaction processing to easily migrate existing skills & applications, including PL/SQL code

APP-Services

Ingest fast streaming data; develop, test and deploy machine-learning models; collaborate with notebooks

Elastic Cloud

Deploy faster, reduce risk. Scale as you grow, provision only what you need. (On-premise available as well.)

A Scale-Out Architecture for Hybrid Workloads

Splice Machine delivers an open-source data platform that incorporates the proven scalability of HBase™ and the in-memory performance of Apache Spark™. The cost-based optimizer uses advanced statistics to choose the best compute engine, storage engine, index access, join order and join algorithm for each task. In this way, Splice Machine can concurrently process transactional and analytical workloads at scale.

Deploy the Powerful Database as a Service in Minutes

Configure Your Cluster with 4 Sliders and GO!

Run OLTP and OLAP Concurrently

Splice Machine runs transactional and analytical SQL workloads, concurrently, against shared data. To ensure that one does not interfere with the other, Splice Machine uses resource isolation and a ground-breaking MVCC technology for concurrent, non-locking, distributed ACID transactions.

Support All the Players on Your Team

  • Software Architects
  • IT Architects
  • Software Developers
  • DevOps

Power Predictive Applications

Modern applications are predictive. They learn from experience. That requires a new architecture that can ingest voluminous amounts of data and processes large-sale transactions and analytics concurrently.

Find out why Splice Machine powers modern AI applications better than any other data platform.

Enable Enterprise Innovation

The enterprise has competing priorities of reducing expenses, dealing with explosive data growth, and responding to information the moment it is created.

Splice Machine replaces traditional RDBMS and Data Warehouse solutions, simplifying your architecture, reducing cost and improving scalability and performance.

Develop Applications That Rock

Applications cannot wait for map reduce to crawl through big data. They need to produce results in the moment, and they need to do that consistently, regardless of data growth and exploding usage.

Splice Machine powers big data applications using industry standard SQL on a scale-out architecture so you can focus on the business logic.

A Scale-Out Database Without the Headaches

Scaling databases can be a headache when data grows as quickly as it does these days. Most databases hit a maximum capacity and, beyond that, it becomes very hard to scale further. Often, you have to spend lots of money and start over.

With Splice Machine, you can scale out dynamically when the need for capacity grows or back when it decreases, so you only pay for what you really need.

Software Architects

Power Predictive Applications

Modern applications are predictive. They learn from experience. That requires a new architecture that can ingest voluminous amounts of data and processes large-sale transactions and analytics concurrently.

Find out why Splice Machine powers modern AI applications better than any other data platform.

IT Architects

Enable Enterprise Innovation

The enterprise has competing priorities of reducing expenses, dealing with explosive data growth, and responding to information the moment it is created.

Splice Machine replaces traditional RDBMS and Data Warehouse solutions, simplifying your architecture, reducing cost and improving scalability and performance.

Software Developers

Develop Applications That Rock

Applications cannot wait for map reduce to crawl through big data. They need to produce results in the moment, and they need to do that consistently, regardless of data growth and exploding usage.

Splice Machine powers big data applications using industry standard SQL on a scale-out architecture so you can focus on the business logic.

DevOps

A Scale-Out Database Without the Headaches

Scaling databases can be a headache when data grows as quickly as it does these days. Most databases hit a maximum capacity and, beyond that, it becomes very hard to scale further. Often, you have to spend lots of money and start over.

With Splice Machine, you can scale out dynamically when the need for capacity grows or back when it decreases, so you only pay for what you really need.

Bipin Sahni, Head of Innovation R&D at Wells Fargo

Increasing the number of data sources and creating a holistic view of our customers is key to the future success of the bank. Our focus is on how data can improve the user experience. Enhancements in AI are opening doors to endless opportunities. These engines can replace previously labor-intensive programming workloads and allow us to incorporate many more data sources. For example, we’re using AI from both natural language processing (NLP) and analytics bases to build a framework, so that our business lines can learn from one another.

In addition, Splice Machine, a company in our FinTech Startup Accelerator program, is helping us discover data-driven insights to help drive predictions.

Source: IBS Intelligence, March 2017