SingleStore Connections
CDC Oracle to SingleStore in Real-time
Oracle to SingleStore Migration is completely automated with BryteFlow
Move data from Oracle to SingleStore in real-time with BryteFlow. It uses no-code, log-based Change Data Capture to load data from Oracle to SingleStore DB, delivering data that is ready to use for Analytics or Machine learning. All deltas (inserts, updates and deletes) are merged automatically with existing data to sync data with source. Every process is automated, including data extraction, CDC, merges, schema and table creation, SCDtype2, masking, and DDL. Our Oracle SingleStore migration tool moves large volumes of enterprise data with multi-threaded parallel loading, smart partitioning and compression for the initial full refresh of data. This is followed by CDC of incremental data. BryteFlow reconciles data automatically, and supports all versions of Oracle for replication to SingleStore including Oracle 12c,19c and 21c.
BryteFlow’s Oracle CDC Replication
Oracle to SingleStore Migration Tool Highlights
- BryteFlow’s Oracle to SingleStore CDC has no impact on source. Oracle CDC: 13 Things to Know
- Ingest data fast with BryteFlow’s multi threaded, parallel loading and smart, configurable partitioning.
- SingleStore replication best practices built into the software. Data pipelines and why automate them
- BryteFlow has high availability and very high throughput – approx. 1,000,000 rows in 30 seconds. (6x faster than GoldenGate and faster than HVR and Qlik Replicate). About GoldenGate CDC
- BryteFlow is completely automated with zero coding for CDC, data extraction, schema and table creation, mapping, merging, masking, or type 2 history. Data Integration on SingleStore
Delivers data with out-of-the-box data type conversions so it is ready to use on destination . - Automates Data Reconciliation with row counts and columns checksum.
- Supports high volume ingestion of Oracle data to SingleStore, both initial and incremental.
- BryteFlow provides replication support for all Oracle versions, including Oracle 12c, 19c, 21c and future releases for the long term. It supports both – on-premise and Cloud Oracle sources.
Suggested Reading
Oracle CDC (Change Data Capture): 13 Things to Know
Oracle to Postgres Migration (The Whys & Hows)
Oracle to SQL Server Migration: Reasons, Challenges and Tools
Oracle to Snowflake: Everything You Need to Know
Real-time, No-Code Oracle to SingleStore Migration using CDC
BryteFlow replicates huge volumes of Oracle data to your SingleStore database fast
BryteFlow uses parallel multi-thread loading and smart, configurable partitioning to move data at high speeds. BryteFlow XL Ingest handles the initial full refresh of Oracle data to SingleStore followed by log-based Change Data Capture of incremental data carried out by BryteFlow Ingest.
Oracle CDC (Change Data Capture): 13 Things to Know
DBAs do not need to spend time managing the replication
Spare your DBA’s time -they usually spend a lot of time managing backups, managing dependencies until the changes have been processed, in configuring full backups etc.
With BryteFlow, it is “set and forget”. There is no involvement from the DBAs required on a continual basis, hence the TCO (Total Cost of Ownership) is much lower. Further, you do not need sysadmin privileges for the replication user, which is usually the case in most replication scenarios.
BryteFlow for Oracle CDC
Oracle to SingleStore Migration Tool is completely automated
BryteFlow functions as a fully automated Oracle to SingleStore migration tool. With other migration tools there is some coding involved for e.g. to merge data for basic Oracle CDC. BryteFlow is completely no-code. CDC, data extraction, merges, mapping, masking, schema and table creation, SCD Type2 history, and data reconciliation are all automated. BryteFlow is a self-service tool with a user-friendly point-and-click interface that any ordinary business user can handle with ease.
Oracle to Postgres Migration (The Whys & Hows)
Oracle to SingleStore Data Replication is monitored end to end
BryteFlow monitors your data replication from Oracle to SingleStore from start to finish. For e.g. if you are replicating Oracle data to SingleStore at 3 pm on Tuesday, March 12, 2024, all the changes at source will be replicated to the SingleStore database, latest change last, so the data will be updated with all inserts, deletes and updates that happened at source. Also the deltas are merged automatically with existing data.
Oracle to SQL Server Migration: Reasons, Challenges and Tools
Data maintains Referential Integrity
With BryteFlow you can maintain the referential integrity of your data when migrating data from Oracle to SingleStore. This means when there are changes in the Oracle source and when those changes are replicated to the destination (SingleStore) you can pinpoint precisely what changed – the date, the time and the values that changed at the columnar level.
Oracle to Snowflake: Everything You Need to Know
Data is continually and automatically reconciled and checked for completeness in the SingleStore database
With BryteFlow, data in the SingleStore DB is validated against data in the Oracle database continually or you can select a frequency for this to happen. It carries out point-in-time data completeness checks for complete datasets including type-2. It compares row counts and columns checksum in the Oracle database and SingleStore data at a very granular level. Very few data integration software provide this feature.
About BryteFlow TruData, our Data Reconciliation Tool
Archive data while preserving SCD Type 2 history
BryteFlow provides time-stamped data and the versioning feature allows you to access data from any point on the timeline. This versioning feature is integral to historical and predictive trend analysis.
About BryteFlow Ingest, our replication tool
Remote log mining for Oracle data
With BryteFlow you can use remote log mining for Oracle data. The logs can be mined on a completely different server therefore there is zero load on the source. Your operational systems and sources are never impacted even though you may be mining huge volumes of data.
Kafka CDC Explained and Oracle to Kafka CDC Methods
Data replication 6x faster than Oracle GoldenGate
BryteFlow replication is 6x faster than GoldenGate CDC for initial and incremental data and also much faster than Qlik Replicate and HVR. We state this based on an actual experience with a client. Try out BryteFlow for yourself and see exactly how fast it works to migrate your Oracle data to SingleStore.
Oracle Replication in Real-time, Step by Step
BryteFlow uses real-time, log-based CDC to replicate changes from the Oracle source to SingleStore
BryteFlow uses zero-impact log-based Change Data Capture to sync data with changes at source in real-time. Every insert, delete and update is merged automatically with existing data to keep data in sync with source. CDC can be continuous or you can specify a frequency for it to happen.
Oracle Replication with BryteFlow
Automatic catch-up from network dropout
BryteFlow has built-in resiliency. In case of a power outage or network failure you will not need to start the Oracle to SingleStore replication process over again. You can simply pick up where you left off – automatically.
Oracle vs Teradata (How to Migrate in 5 Easy Steps)
About Oracle
Oracle DB is also known as Oracle RDBMS (Relational Database Management System) and sometimes just Oracle. Oracle DB allows users to directly access a relational database framework and its data objects through SQL (Structured Query Language). Oracle is highly scalable and is used by global organizations to manage and process data across local and wide area networks. The Oracle database allows communication across networks through its proprietary network component.
About SingleStore
SingleStore (formerly MemSQL) is a Cloud-native, distributed, relational, SQL DBMS with ANSI SQL support. It is a proprietary, Cloud-native database designed for data-heavy applications. SingleStore DB is a high-performance database reputed for high-speed data ingestion, transactions and analytics. Besides storing relational data, SingleStore can also store JSON data, graph data, and time-series data. It supports blended workloads besides the typical OLTP and OLAP use cases.